{
    "paper_id": "O12-4002",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T08:03:11.210373Z"
    },
    "title": "Phonetic Component Ranking and Pronunciation Rules Discovery for Picto-Phonetic Chinese Characters",
    "authors": [
        {
            "first": "\u5f35\u5609\u60e0",
            "middle": [
                "*"
            ],
            "last": "\u3001\uf9f4\u66f8\u5f65",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "National Central University",
                "location": {
                    "country": "Taiwan"
                }
            },
            "email": ""
        },
        {
            "first": "\u3001\uf9e1\u6dd1\u840d",
            "middle": [
                "+"
            ],
            "last": "\u3001\u5ed6\u6e58\u7f8e",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "National Central University",
                "location": {
                    "country": "Taiwan"
                }
            },
            "email": ""
        },
        {
            "first": "+",
            "middle": [],
            "last": "\u3001\u9ec3\u9354 #",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "National Central University",
                "location": {
                    "country": "Taiwan"
                }
            },
            "email": ""
        },
        {
            "first": "Chia-Hui",
            "middle": [],
            "last": "Chang",
            "suffix": "",
            "affiliation": {},
            "email": ""
        },
        {
            "first": "Shu-Yen",
            "middle": [],
            "last": "Lin",
            "suffix": "",
            "affiliation": {},
            "email": ""
        },
        {
            "first": "Meng-Feng",
            "middle": [],
            "last": "Tsai",
            "suffix": "",
            "affiliation": {},
            "email": ""
        },
        {
            "first": "Shu-Ping",
            "middle": [],
            "last": "Li",
            "suffix": "",
            "affiliation": {},
            "email": ""
        },
        {
            "first": "Hsiang-Mei",
            "middle": [],
            "last": "Liao",
            "suffix": "",
            "affiliation": {},
            "email": ""
        },
        {
            "first": "Norden",
            "middle": [
                "E"
            ],
            "last": "Huang",
            "suffix": "",
            "affiliation": {},
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "In recent years, there are a considerable number of new immigrants in Taiwan. Although these people are in the good position to learn Chinese, the advantages are limited to speaking and listening. Recognizing Chinese characters is a tough task since one has to memorize the shape, meaning and pronunciation at the same time. Therefore, the cost of learning a single character is relatively high compared with other languages in alphabet system. The goal of this study is to make the 80% pictophonetic characters to be organized more systematically such that the pronunciation of most pictophonetic characters can be inferred automatically. We evaluate the importance of Chinese components by considering the pronunciation strength, occurring frequency, and number of strokes using linear sum, product, and harmonic mean, respectively. Furthermore, we discover pronunciation rules by association mining with priority grouping. Three groups of high reliability rules and five groups of high support rules are demonstrated in this paper to show the effectiveness of pronunciation rule discovery.",
    "pdf_parse": {
        "paper_id": "O12-4002",
        "_pdf_hash": "",
        "abstract": [
            {
                "text": "In recent years, there are a considerable number of new immigrants in Taiwan. Although these people are in the good position to learn Chinese, the advantages are limited to speaking and listening. Recognizing Chinese characters is a tough task since one has to memorize the shape, meaning and pronunciation at the same time. Therefore, the cost of learning a single character is relatively high compared with other languages in alphabet system. The goal of this study is to make the 80% pictophonetic characters to be organized more systematically such that the pronunciation of most pictophonetic characters can be inferred automatically. We evaluate the importance of Chinese components by considering the pronunciation strength, occurring frequency, and number of strokes using linear sum, product, and harmonic mean, respectively. Furthermore, we discover pronunciation rules by association mining with priority grouping. Three groups of high reliability rules and five groups of high support rules are demonstrated in this paper to show the effectiveness of pronunciation rule discovery.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Abstract",
                "sec_num": null
            }
        ],
        "body_text": [
            {
                "text": "I I I w KL P W P A = (1) ( ) ( ( ) || ( )) F F F w KL P W P A = (2) ( ) ( ( ) || ( )) T T T w KL P W P A = (3) \u5176\u4e2d A \u8868\u793a\u6240\u6709\u6f22\u5b57\u6240\u6210\u7684\u96c6\u5408\uff0cW \u5247\u8868\u793a\u90e8\u4ef6 w \u6240\u5ef6\u4f38\u7684\u5b57\u6240\u6210\u7684\u96c6\u5408\u3002\u51fd\uf969 P I (A)\u3001 P f (A)\u3001P T (A)\u5206\u5225\u8868\u793a A \u96c6\u5408\u4e2d\u6f22\u5b57\u7684\u8072\u6bcd\u3001\u97fb\u6bcd\u53ca\u8abf\u7684\u5206\u4f48\u6a5f\uf961\u3002KL(P||Q)\u5247\u4ee3\u8868\uf978\u500b \u6a5f\uf961\u5206\u4f48\u7684 KL-divergence\uff1a ( ) ( || ) ( )log ( ) i P i KL P Q P i Q i = \u2211 (4) \u5c0d\u65bc\u8072\u7b26\u800c\u8a00\uff0c\u7531\u65bc\u767c\u97f3\u96c6\u4e2d\ufa01\u8f03\u9ad8\uff0c\u56e0\u6b64 w \u7684\u8072\u6bcd\u5206\u4f48 P I (W)\u8207\u6240\u6709\u6f22\u5b57\u7684\u8072\u6bcd \u5206\u4f48 P I (A)\u6703\u6709\u8f03\u5927\u7684\u5dee\uf962\u3002\u540c\uf9e4\u97fb\u6bcd\u5206\u4f48 P f (W)\u8207 P f (A)\u5dee\uf962\uff0c\u4ee5\u53ca\u8072\u8abf\u5206\u4f48 P T (W)\u8207 P T (A)\u5dee\uf962\u4e5f\u6703\u8f03\u5927\u3002\u56e0\u6b64\u6211\u5011\u5373\u53ef\u4ee5 KL-divergence \u516c\u5f0f\u5c0d\u6b64\u5dee\uf962\u503c\u8a08\u7b97\u51fa\u5176\u7a0b\ufa01\uff0c\u63db \uf906\u8a71\uf96f\u6211\u5011\uf9dd\u7528\u516c\u5f0f 1, 2, 3 \u5206\u5225\u8a08\u7b97\u4e00\u500b\u90e8\u4ef6\u7684\u8072\u6bcd\u3001\u97fb\u6bcd\u3001\u53ca\u8abf\u865f\u7684 KL \u503c\uff0c\u9019\u4e09\u7a2e \uf969\u503c\u5206\u5225\u53cd\u61c9\u51fa\u6b64\u90e8\u4ef6\u7684\u8072\u6bcd\u3001\u97fb\u6bcd\u3001\u53ca\u8abf\u865f\u7684\u767c\u97f3\u5f37\ufa01\u3002 \u9664\uf9ba\u90e8\u4ef6\u7684\u767c\u97f3\u5f37\ufa01\uff0c\u5728\u90e8\u4ef6\u5b78\u7fd2\u6392\u5e8f\u4e0a\uff0c\u6211\u5011\u4e5f\u5fc5\u9808\u8003\u616e\u90e8\u4ef6\u7684\u983b\uf961\u3002\u56e0\u70ba\u5c0d\u65bc \u6f22\u5b57\u5b78\u7fd2\u8005\uf92d\uf96f\uff0c\u767c\u97f3\u5f37\u7684\u90e8\u4ef6\uff0c\u4e5f\u8981\u6709\u4e00\u5b9a\u7684\u51fa\u73fe\u983b\uf961\uff0c\u624d\u80fd\u767c\u63ee\u5176\u505a\u70ba\u8072\u7b26\u7684\u529f\u80fd\u3002 \u56e0\u6b64\uf974\u55ae\u7d14\u4ee5\u767c\u97f3\u5f37\ufa01\uf92d\u6c7a\u5b9a\u6559\u5b78\u9806\u5e8f\uff0c\u4e26\uf967\u662f\u975e\u5e38\u9069\u7576\u7684\u9078\u64c7\u3002\u518d\u8005\uff0c\u5c0d\u65bc\u5b78\u7fd2\u8005\uf92d \uf96f\uff0c\u6f22\u5b57\u7684\u7b46\u756b\uf969\u591a\u5be1\u4e5f\u6703\u5f71\u97ff\u5b78\u7fd2\u7684\u6548\uf961\u3002\u56e0\u6b64\u5982\u4f55\u5c07\u4e09\u8005\u540c\u6642\u8003\u616e\u65bc\u90e8\u4ef6\u6559\u5b78\u7684\u9806 \u5e8f\uff0c\u662f\u6b64\u8655\u6700\u4e3b\u8981\u7684\u6311\u6230\u3002\u5e38\ufa0a\u7684\u7d50\u5408\u65b9\u5f0f\u662f\u4ee5\u7dda\u6027\u52a0\u7e3d\uff0c\u7136\u800c\u5728\u6b64\u8655\u4e26\u975e\u6700\u4f73\u7684\u7d50\u5408 \u65b9\u6cd5\uff0c\u5982\u5716\u4e00\u90e8\u4ef6\u767c\u97f3\u5f37\ufa01\u8207\u983b\uf961\u6563\u4f48\u5716\u986f\u793a\uff0c\uf974\u4ee5\u7dda\u6027\u52a0\u7e3d\u767c\u97f3\u5f37\ufa01\u8207\u90e8\u4ef6\u7684\u983b\uf961(\u90e8 \u4ef6\u983b\uf961\u5b9a\u7fa9\u70ba\u5305\u542b\u90e8\u4ef6 w \u7684\u5f62\u8072\u5b57\u5b57\uf969|W|\u9664\u4ee5\u5168\u90e8\u5b57\uf969) \uff0c\u53ef\u80fd\u5148\u627e\u5230\u7684\u662f\u983b\uf961\u9ad8\u4f46\u767c \u97f3\u5f37\ufa01\u8f03\u5f31\u7684\u90e8\u4ef6\uff0c\u6216\u662f\u767c\u97f3\u5f37\u7684\u90e8\u4ef6\u4f46\u662f\u983b\uf961\u8f03\u4f4e\u7684\u90e8\u4ef6\uff0c\u800c\u975e\u540c\u6642\u64da\u6709\u9ad8\u983b\u53ca\u9ad8\u767c \u97f3\u5f37\ufa01\u7684\u90e8\u4ef6\u3002 \u5716 1. \u90e8\u4ef6\u767c\u97f3\u5f37\ufa01\u8207\u983b\uf961\u6563\u4f48\u5716 \u70ba\uf9ba\u627e\u51fa\u983b\uf961\u9ad8\u4e14\u767c\u97f3\u5f37\ufa01\u5f37\u7684\u90e8\u4ef6\uff0c\u4e14\u540c\u6642\u4e5f\u5e0c\u671b\u80fd\u5c07\u7b46\u5283\uf969\u8f03\u5c11\u7684\u90e8\u4ef6\u512a\u5148\u6392 \u5e8f\u3002\u6211\u5011\u63d0\u51fa\u4e09\u7a2e\u6392\u5e8f\u90e8\u4ef6\u7684\u4f9d\u64da\uff1a 1. \u7dda\u6027\u52a0\u7e3d\uff1aScoreA(w)=a*Freq(w)+ I(w)+ F(w) + b*Strokes(w) 2. \u5e7e\u4f55\u4e58\u7a4d\uff1aScoreG(w)= ( )*( ( ) ( )) / ( ) Freq w I w F w Strokes w + 3. \u8abf\u548c\u5e73\u5747\uff1aScoreH(w)=ScoreG(w)/ScoreA(w) \u5176\u4e2d Freq(w)\u4ee3\u8868\u90e8\u4ef6 w \u7684\u983b\uf961\uff0cStrokes(w)\u70ba\u90e8\u4ef6 w \u7684\u7b46\u756b\uf969\uff1ba \u8207 b \u5247\u662f\u7dda\u6027\u52a0\u7e3d\u7684 \u6b0a\u91cd\u3002\u7531\u5716 1 \u53ef\u77e5\u767c\u97f3\u5f37\ufa01\u7d04\u70ba\u983b\uf961\u7684 a=90 \u500d\uff0c\u540c\uf9e4\uff0c\u6211\u5011\u6c42\u5f97\u7b46\u756b\uf969\u7684\u6b0a\u91cd b=0.01\uff0c \u53ef\u4f7f\u7dda\u6027\u52a0\u7e3d\u7684\u4e09\u500b\u56e0\u7d20\u9593\u53d6\u5f97\u5e73\u8861\u3002\u7b2c\u4e8c\u7a2e\u7d50\u5408\u65b9\u6cd5\u5247\u662f\u4e09\u500b\u56e0\u7d20\u7684\u5e7e\u4f55\u4e58\u7a4d\uff0c\u6700\u5f8c \u8abf\u548c\u5e73\u5747\u5247\u662f\u53d6\u7dda\u6027\u52a0\u7e3d\u8207\u5e7e\u4f55\u4e58\u7a4d\u7684\u8abf\u548c\u5e73\u5747\u505a\u70ba\u90e8\u4ef6\u6392\u5e8f\u7684\u8a55\u4f30\u3002\u52a0\u6cd5\u8207\u4e58\u6cd5\u662f\u7d50 \u5408\uf967\u540c\u56e0\uf969\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u800c\u8abf\u548c\u5e73\u5747\u5247\u662f\u53d6\uf978\u8005\u7684\u7d50\u5408\u3002 KL Strength vs. Frequency 0 1 2 3 4 5 0 0.01 0.02 0.03 0.04 0.05 0.06 Frequency I(w)+F(w) \u5f35\u5609\u60e0 \u7b49 3.1 \u5be6\u9a57\u8a55\u4f30 \u70ba\uf9ba\u8a55\u4f30\u4e09\u500b\u90e8\u4ef6\u6392\u5e8f\u662f\u5426\u80fd\u6709\u6548\uf961\u5730\u63d0\u6607\u5b78\u7fd2\u6548\uf961\uff0c\u6211\u5011\u7e6a\u88fd\u51fa\u4ee5\u5e7e\u4f55\u4e58\u7a4d\u505a\u70ba\u90e8\u4ef6 \u6392\u5e8f\uff0c\u8207\u5176\uf94f\u7a4d\u5ef6\u4f38\u5b57\uf969\u7684\u95dc\u4fc2 1 \u3002\u5982\u5716 2 \u6240\u793a\uff0c\u6a6b\u8ef8\u8868\u793a\u6392\u5e8f\u904e\u7684\u90e8\u4ef6\uff0c\u5f9e\u5de6\u800c\u53f3\u4f9d\u5e8f \u662f\uff1a\u5206\uf9a8\u4e01\u65b9\u5e72\u5305\u2026\u7b49\u5b57\uff0c\u7e31\u8ef8\u6dfa\u8272\u4ee3\u8868\uf94f\u7a4d\u5ef6\u4f38\u5b57\u7684\u500b\uf969 Y 1 \uff0c\u7e31\u8ef8\u6df1\u8272\u5247\u4ee3\u8868\u8072\u7b26\u80fd \u6b63\u78ba\u9810\u6e2c\u8072\u6bcd\u500b\uf969\u8207\u97fb\u6bcd\u500b\uf969\u7684\u7e3d\u548c Y 2 \uff0c\uf978\u8005\u5206\u5225\u5b9a\u7fa9\u5982\u4e0b\uff1a Y 1 \uff1d\u03a3 i |W i |\uff0c (5) Y 2 \uff1d\u03a3 i (Imatch(w i ,W i )+Fmatch(w i ,W i )) (6) \u5176\u4e2d Imatch(w i ,W i )\u4ee3\u8868\u90e8\u4ef6 w i \u5ef6\u4f38\u5b57\u96c6\u5408 W i \u4e2d\u8207\u90e8\u4ef6 w i \u5177\u6709\u76f8\u540c\u8072\u6bcd\u7684\u5b57\uf969\uff0c Fmatch(w i , W i )\u4ee3\u8868\u90e8\u4ef6 w i \u5ef6\u4f38\u5b57\u96c6\u5408 W i \u4e2d\u8207\u90e8\u4ef6 w i \u5177\u6709\u76f8\u540c\u97fb\u6bcd\u7684\u5b57\uf969\u3002\u8209\uf9b5\uf92d\uf96f\uf974 \u8072\u7b26 w i \u70ba\u5305(\u3105\u3120)\uff0c\uf974\u5176\u5ef6\u4f38\u5b57\u96c6 W i \u70ba{\u70ae(\u3106\u3120)\u3001\u80de(\u3105\u3120)\u3001\u82de(\u3105\u3120)}\uff0c\u90a3\u9ebc|W i |=3\uff0c \u800c W i \u4e2d\u8207 w i \u6709\u76f8\u540c\u8072\u6bcd\u7684\u5b57\u70ba{\u80de\u3001\u82de}\uff0c\u56e0\u6b64 Imatch(w i , W i )=2\uff1b\u800c W i \u4e2d\u8207 w i \u6709\u76f8\u540c \u97fb\u6bcd\u70ba\u7684\u5b57\u6709{\u70ae\u3001\u80de\u3001\u82de}\uff0c\u56e0\u6b64 Fmatch(w i , W i )=3\u3002\u56e0\u6b64\uf978\u8005\u76f8\u52a0\u5f8c\u53ef\u5f97\u6b63\u78ba\u9810\u6e2c\u8072\u6bcd \u500b\uf969\u8207\u97fb\u6bcd\u500b\uf969\u7684\u7e3d\u548c=5\u3002 \u6b63\u78ba\u9810\u6e2c\u8072\u6bcd\u500b\uf969\u8207\u97fb\u6bcd\u500b\uf969\u7684\u7e3d\u548c(Y 2 )\u6108\u63a5\u8fd1\uf978\u500d\uf94f\u7a4d\u5ef6\u4f38\u5b57\u7684\u500b\uf969(2Y 1 )\uff0c \u8868\u793a\u9810\u6e2c\u6b63\u78ba\u7684\u6e96\u78ba\uf961\u6108\u9ad8\uff0c\u5c07\u4e0a\u8ff0\uf978\u503c\u76f8\u9664\uff0c\u53ef\u5f97\u6e96\u78ba\u767c\u97f3\u6bd4\uf9b5\u3002\u5f9e\u5716 2 \u53ef\u4ee5\u770b\u51fa\u6392 \u5e8f\u5728\u524d\u9762\u7684\u5b57\u5373\u6709\u76f8\u7576\u591a\u7684\u5ef6\u4f38\u5b57\uff0c\u540c\u6642\u6e96\u78ba\u767c\u97f3\u7684\u6bd4\uf9b5\u4e5f\u76f8\u7576\u7684\u9ad8\u3002\u8868 1 \uf99c\u51fa\u6392\u5e8f\u524d \u5341\u500b\u90e8\u4ef6\u53ca\u5176\u53ef\u5ef6\u4f38\u5b78\u7fd2\u7684\u5f62\u8072\u5b57\uff0c\u5982\u8868 1 \u6240\u793a\uff0c\u9019\u4e9b\u90e8\u4ef6\u90fd\u5177\u6709\u5ef6\u4f38\u5b57\u767c\u97f3\u9ad8\ufa01\u76f8\u4f3c\u3001 \u51fa\u73fe\u983b\uf961\u9ad8\u3001\u7b46\uf969\u5c11\u7684\u7279\u6027\uff0c\u76ca\u65bc\u5148\ufa08\u5b78\u7fd2\u3002 1 \u6240\u6709\u6f22\u5b57\u76f8\u95dc\u8cc7\uf9be\uf92d\u6e90\u5247\u662f\u4f7f\u7528\u4e2d\u7814\u9662\u6240\u958b\u767c\u7684\u6f22\u5b57\u69cb\u5f62\u8cc7\uf9be\u5eab\u3002 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            "BIBREF0": {
                "ref_id": "b0",
                "title": "\u5f35\u5609\u60e0\u3001\uf9f4\u66f8\u5f65\u3001\uf9e1\u6dd1\uf9ae\u3001\u8521\u5b5f\u5cf0\u3001\uf9e1\u6dd1\u840d\u3001\u5ed6\u6e58\u7f8e\u3001\u5b6b\u81f4\u6587\u3001\u9ec4\u9354(2010)\u3002\u300a\u4ee5\u6700\u4f73 \u5316\u53ca\u6a5f\uf961\u5206\u4f48\u5224\u65b7\u6f22\u5b57\u8072\u7b26\u4e4b\u7814\u7a76\u300b \uff0cComputational Linguistic and Chinese Language Processing",
                "authors": [],
                "year": null,
                "venue": "",
                "volume": "15",
                "issue": "",
                "pages": "145--160",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "\u5f35\u5609\u60e0\u3001\uf9f4\u66f8\u5f65\u3001\uf9e1\u6dd1\uf9ae\u3001\u8521\u5b5f\u5cf0\u3001\uf9e1\u6dd1\u840d\u3001\u5ed6\u6e58\u7f8e\u3001\u5b6b\u81f4\u6587\u3001\u9ec4\u9354(2010)\u3002\u300a\u4ee5\u6700\u4f73 \u5316\u53ca\u6a5f\uf961\u5206\u4f48\u5224\u65b7\u6f22\u5b57\u8072\u7b26\u4e4b\u7814\u7a76\u300b \uff0cComputational Linguistic and Chinese Language Processing, 15(2), 145-160\u3002",
                "links": null
            }
        },
        "ref_entries": {
            "TABREF1": {
                "num": null,
                "type_str": "table",
                "text": "\u8072\u7b26\u7684\u8072\u6bcd=\u310c, \u8072\u7b26\u7684\u7b46\u5283\uf969=L16, w\u8207\u8072\u7b26\u7b46\u5283\uf969\u5dee\u503c=4-5 (supp:16) \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a, \u97fb\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:16, conf:1) [\u67e5\u770b],[\uf9b5\u5916\u5b57] (R7) \u8072\u7b26\u7684\u8072\u6bcd=\u3112, \u8072\u7b26\u7684\u8abf=1, \u8072\u7b26\u7684\u7b46\u5283\uf969=s11, w\u7684\u7b46\u5283\uf969=12-15 (supp:16) \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a, \u97fb\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:16, conf:1) [\u67e5\u770b],[\uf9b5\u5916\u5b57] http://r9.ntue.edu.tw/activity/multiculture_conference/ memoirs.html\u3002",
                "content": "<table><tr><td>36 40 42</td><td>\u8072\u7b26\u90e8\u4ef6\u6392\u5e8f\u8207\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8 \u8072\u7b26\u90e8\u4ef6\u6392\u5e8f\u8207\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8 \u8072\u7b26\u90e8\u4ef6\u6392\u5e8f\u8207\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8</td><td>\u5f35\u5609\u60e0 \u7b49 \u5f35\u5609\u60e0 \u7b49 39 \u5f35\u5609\u60e0 \u7b49 41 \u5f35\u5609\u60e0 \u7b49 43</td></tr><tr><td colspan=\"3\">\u97f3\u6bd4\uf9b5 0.71 0.83 \u5f62\u8072\u5b57\u7684\u767c\u97f3\u5206\u6210\u4e09\u500b\u90e8\u4efd\uff1a\u8072\u6bcd\u3001\u97fb\u6bcd\u3001\u4ee5\u53ca\u8abf\u865f\uff0c\u5206\u5225\u5c07\u5176\u8a18\u70ba INITIAL\u3001FINAL\u3001 \u7b46\u5283 \uf969 \uf94f\u7a4d\u7b46 \u5283\uf969 \u5ef6\u4f38\u5b57 \u5206 45 45 64 4 4 \u4efd\u574b\u574c\u5f05\u5429\u73a2\u678c\u68a4\u68fc\u2026 \uf9a8 35 80 132 5 9 \u4f36\uf92e\u577d\u5464\uf9a9\u5cad\u72d1\u6624\u6ce0\u2026 TONE\u3002\u53e6\u5c07\u5f62\u8072\u5b57\u7684\u8072\u7b26(Phonetic component)\uff0c\u4ee5\u53ca\u8072\u7b26\u7684\u767c\u97f3\u4ee5 PC_INITIAL\u3001 PC_FINAL\u3001PC_TONE \u4e09\u500b\u5c6c\u6027\u6a19\u8a18\u3002\u5176\u6b21\u6f22\u5b57\u7684\u90e8\u9996(Radical component)\u3001\u5f62\u8072\u5b57\u6392 \uf99c\u65b9\u5f0f(\u55ae\u9ad4\u5b57\u3001\u5de6\u53f3\uf99a\u63a5\u3001\u4e0a\u4e0b\uf99a\u63a5\u3001\u5305\u570d\u5f0f\u3001\u5176\u4ed6)\u3001\u5f62\u8072\u5b57\u7b46\u5283(Stroke)\u3001\u8072\u7b26\u7b46\u5283 (PC_Stroke) \u3001\uf978\u8005\u5dee\u503c(diff_STROKE)\u7b49\u7279\u5fb5\u90fd\uf99c\u70ba\u8868\u9054\u767c\u97f3\u898f\u5247\u7684\u63a2\u52d8\u9805\u76ee\u4e4b\u4e00\u3002\u6700\u5f8c\uff0c \u5f62\u8072\u5b57\u7684\u767c\u97f3\uf974\u8207\u5176\u8072\u7b26\u7684\u767c\u97f3\u76f8\u540c\uff0c\u5247\u6a19\u8a18\u6210\u8072\u6bcd\u767c\u97f3\uf967\u8b8a(IU)\u3001\u97fb\u6bcd\uf967\u8b8a(FU)\u3001\u97f3 \u6211\u5011\u53d6\u6700\u5c0f\u652f\u6301\ufa01 0.3%\u3001 \u6700\u5c0f\u4fe1\u8cf4\ufa01 60%\uf92d\u9032\ufa08\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8\u3002\u91dd\u5c0d\u6700\u5c0f \u652f\u6301\ufa01\u53d6 0.3%\u30010.5%\u8207 1%\u5c0d\u61c9\u5404\u7a2e\uf967\u540c\u7684\u6700\u5c0f\u4fe1\u8cf4\ufa01 60%~100%\uff0c\u9032\ufa08 Apriori \u904b\u7b97\u5f8c\uff0c \u5f97\u5230\uf967\u540c\uf969\uf97e\u7684\u898f\u5247\uf969\u5982\u8868 3\u3002\u5728\u5e38\ufa0a 3000 \u7b46\u5f62\u8072\u5b57\u4e2d\uff0c\u652f\u6301\ufa01 0.3\ufe6a\u76f8\u7576\u65bc\u7b26\u5408 9 \u500b \u5f62\u8072\u5b57\u3002\uf901\u5c0f\u652f\u6301\ufa01\u7684\u898f\u5247\u7531\u65bc\u4f7f\u7528\uf961\uf967\u9ad8\uff0c\u56e0\u6b64\u6700\u5c0f\u4fe1\u8cf4\ufa01\u8a2d\u70ba 60%\u3002\u96d6\u7136\u5728\u6700\u5c0f\u652f \u6301\ufa01 1%\u53ca\u6700\u5c0f\u4fe1\u8cf4\ufa01 100%\u6642\uff0c\u5373\u53ef\u63a2\u52d8\u51fa 50,054 \u689d\u767c\u97f3\u898f\u5247\uff0c\u7136\u8a31\u591a\u9ad8\u652f\u6301\ufa01\u7684\u898f\u5247 \u4e26\uf967\u5177\u6709\u9ad8\u4fe1\u8cf4\ufa01\uff0c\u70ba\u907f\u514d\u932f\u5931\u91cd\u8981\u7684\u767c\u97f3\u898f\u5247\uff0c\u4ee5\u4e0a\u5404\u9805\uf96b\uf969\u8a2d\u5b9a\u4e2d\uff0c\u6211\u5011\u53d6\u6700\u591a\u898f 4.3 \u898f\u5247\u5206\u7fa4 \u96d6\u7136\u5728\u6700\u5c0f\u652f\u6301\ufa01 0.3%\uff0c\u6700\u5c0f\u4fe1\u8cf4\ufa01 60%\u60c5\u5f62\u4e0b\uff0c\u898f\u5247\u7be9\u9078\u5df2\u5c07\u7684\u898f\u5247\uf969\u6e1b\u5c11\u81f3 368,810 \u7b46\u898f\u5247\uff0c\u4f46\u7531\u65bc\u898f\u5247\u4e2d\u6709\u8a31\u591a\u540c\u8cea\u6027\u7684\u898f\u5247\u6563\u4f48\u5728\u8cc7\uf9be\u5eab\u4e2d\uff0c\u6211\u5011\u9700\u8981\u6709\u7cfb\u7d71\u5730\u5c07\u5b83\u5011 \u5206\u7fa4\u3002\u4ee5\u5716 5 \u689d\u4ef6\u96c6\u70ba\uf9b5\uff0c\u53ef\u4ee5\u767c\u73fe 1\u30012\u30013 \u5177\u6709\u76f8\u540c\u689d\u4ef6\u300c\u8072\u7b26\u7684\u8072\u6bcd=\u310c\u300d\uff0c\u4e14\u9019\u4e9b \u898f\u5247\u5747\u5177\u6709\u76f8\u8fd1\u7684\u652f\u6301\ufa01\u3002\u4ed4\u7d30\u6df1\u5165\u67e5\u770b\u7b26\u5408\u9019\u4e9b\u689d\u4ef6\u7684\u5b57\u5f8c\u767c\u73fe\uff0c\u652f\u6301\u9019\u4e9b\u898f\u5247\u7684\u5b57 \u7d44\u4e5f\u76f8\u7576\u7a0b\ufa01\u7684\u91cd\u758a(\u5982\u300c\uf934\u300d\u3001\u300c\uf980\u300d\u3001\u300c\uf9e9\u300d\u7b49\u8072\u7b26\u7684\u5ef6\u4f38\u5b57)\uff0c\u6240\u4ee5\u8072\u7b26\u7684\u8072\u6bcd 4.4 \u95dc\uf997\u898f\u5247\u67e5\u8a62\u4ecb\u9762 \u95dc\uf997\u898f\u5247\u7684\u67e5\u8a62\u4ecb\u9762\u4e3b\u8981\u662f\u70ba\uf9ba\u6559\u6750\u7de8\u6392\u8005\u6240\u8a2d\u8a08\uff0c\u5f97\u8b93\u4f7f\u7528\u8005\u80fd\u6839\u64da\uf967\u540c\u689d\u4ef6\u5feb\u901f\u7be9 \u9078\u767c\u97f3\u898f\u5247\u3002\u300c\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u67e5\u8a62\u7cfb\u7d71\u300d\u7684\u8a2d\u8a08\uff0c\u662f\u63a1\u7528\u52d5\u614b\u5448\u73fe\u689d\u4ef6\u9078\u55ae\u5167\u5bb9\uff0c\u56e0 \u6b64\u7b2c\u4e00\u6b21\u8f09\u5165\u7db2\u9801\u6642\u7b49\u5f85\u6642\u9593\u8f03\u9577(\u7d04 20 \u79d2)\uff0c\u800c\u5f8c\u9078\u64c7\u689d\u4ef6\u6642\u7cfb\u7d71\u6703\u900f\u904e Ajax \u7684\u65b9 \u5f0f\u50b3\u9001\u641c\u5c0b\u689d\u4ef6\u81f3\u4f3a\u670d\u5668\u7aef\u64f7\u53d6\u76f8\u95dc\u898f\u5247\u505a\u70ba\u5448\u73fe\u52d5\u614b\u5206\u7fa4\u7d50\u679c\u3002\u67e5\u8a62\u904e\u7a0b\u4e2d\uff0c\u5de6\u4e0b\u89d2 \u7684\u300c\u4e0b\u8f09\u4e2d\u2026\u300d\u5b57\u6a23\u6703\u8868\u793a\u8cc7\uf9be\u6b63\u5728\u56de\u50b3\u4e2d\uff0c\u53f3\u4e0a\u89d2\uf978\u500b\u9078\u9805\u5247\u662f\u958b\u555f\u300c\u5f62\u8072\u5b57\u6a19\u8a18\u7cfb (R6) (R8) \u8072\u7b26\u7684\u97fb\u6bcd=\u3124, \u8072\u7b26\u7684\u8abf=1, w\u7684\uf99a\u63a5\u7b26\u865f=\u5de6\u53f3\uf99a\u63a5, w\u7684\u7b46\u5283\uf969=s11</td></tr><tr><td colspan=\"3\">\u4e01 \u8abf\uf967\u8b8a(TU)\u7b49\u9805\u76ee\uff0c\u505a\u70ba\u4ea4\uf9e0\u8cc7\uf9be\u7684\u4e00\u90e8\u4efd\u3002 27 107 167 0.78 2 \u5247\uf969\u7684\uf96b\uf969\u7d44\u5408(\u6700\u5c0f\u652f\u6301\ufa01 0.3%\uff0c\u6700\u5c0f\u4fe1\u8cf4\ufa01 60%\u60c5\u5f62\u4e0b)\uff0c\u5171 6,625,518 \u689d\u898f\u5247\uff0c\u505a 11 \u4ec3\u4ead\u5722\u53ef\u53ee\u5e04\u5b81\uf95f\u738e\u2026 \u689d\u4ef6\u53ef\u4ee5\u662f\u5206\u7fa4\u7684\u91cd\u8981\uf96b\u8003\u56e0\u7d20\u3002\u540c\uf9e4\u8072\u7b26\u7684\u97fb\u6bcd\u4e5f\u591a\u6d89\u53ca\u76f8\u540c\u6027\u8cea\u7684\u898f\u5247\uff0c\u56e0\u6b64\u898f\u5247 \u7d71\u300d\u53ca\u300c\u69cb\u4ef6\u767c\u8072\u5f37\ufa01\uf99c\u8868\u300d\u7684\uf99a\u7d50\u3002 (supp:17)</td></tr><tr><td colspan=\"3\">\u65b9 \u8868 2. \u6f22\u5b57\u7279\u5fb5\u5c0d\u7167\u8868\u53ca\uff02\u70ae\uff02\u7684\u4ea4\uf9e0\u7bc4\uf9b5 33 140 211 0.75 4 \u70ba\u9032\u4e00\u6b65\u7684\u7be9\u9078\u904e\uf984\u3002 \u4e2d\uf974\u6709\u6307\u5b9a\u76f8\u540c\u7684\u8072\u7b26\u97fb\u6bcd\uff0c\u4e5f\u662f\u6211\u5011\u5206\u7fa4\u7684\u4f9d\u64da\u4e4b\u4e00\u3002 15 \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a, \u97fb\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:17, conf:1) [\u67e5\u770b], [\uf9b5\u5916\u5b57] \u4eff\u574a\u5f77\u59a8\u678b\u74ec\u653e\u6609\u9632\u2026</td></tr><tr><td colspan=\"3\">\u5e72 \u5305 \u975e \u5c6f \u5143 \u5de5 \u63a5\u8457\u6211\u5011\u6bd4\u8f03\u4e09\u7a2e\u6392\u5e8f\u65b9\u6cd5\u7684\u5b78\u7fd2\u66f2\u7dda\u5982\u5716 3\uff0c\u540c\u6a23\u5730\u6a6b\u8ef8\u70ba\u90e8\u4ef6\u6392\u5e8f\uff0c\u7e31\u8ef8\u70ba\u6b63 42 182 253 0.70 3 18 \u520a\u5e73\u5e79\u6746\u72b4\u65f0\u65f1\u6c57\u625e\u2026 32 214 298 0.70 5 23 \u62b1\u80de\u70ae\u7832\u5228\u530f\u5486\u5e96\u6009\u2026 38 252 353 0.70 8 31 \u83f2\u5561\u6249\u7dcb\u5a53\u8153\u7fe1\u5f98\u6392\u2026 26 278 386 0.69 4 35 \u6c8c\u76f9\u56e4\u920d\u5749\u4f05\u7096\u98e9\u5ff3\u2026 20 298 412 0.69 4 39 \u5213\u5c8f\u5b8c\u59a7\u73a9\u676c\u6c85\u5fe8\u82ab\u2026 51 349 448 0.64 3 42 \u5de8\u4edc\u529f\u5de6\u5de7\u5deb\u5dee\u5f0f\u653b\u2026 \u5716 3. \u90e8\u4ef6\u6392\u5e8f\u5b78\u7fd2\u66f2\u7dda\u6bd4\u8f03\u5716 \u7b26\u865f \u610f\u7fa9 \uf969\u503c\u7bc4\u570d \u7bc4\uf9b5:\u70ae INITIAL \u8072\u6bcd\u767c\u97f3 {\u00f8 ,\u3105,\u3106,\u2026,\u3119} \u3106 FINAL \u97fb\u6bcd\u767c\u97f3 {\u00f8,\u4e00,\u3128,\u2026,\u3126} \u8868 3. \u95dc\uf997\u898f\u5247\u63a2\u52d8\u5f8c\u898f\u5247\uf969 conf sup 60% 70% 80% 90% \u53e6\u5916\u6211\u5011\u4e5f\u767c\u73fe\u76f8\u540c\u90e8\u9996\u7684\u898f\u5247\u5177\u6709\u76f8\u8fd1\u7684\u652f\u6301\ufa01\u53ca\u76f8\u540c\u7684\u5ef6\u4f38\u5b57\u96c6\uff0c\u56e0\u6b64\u53ef\u518d\u7d50 5. \u7d50\uf941\u53ca\u672a\uf92d\u7814\u7a76 \u96c6\u6210\u7fa4\u3002\u800c\u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5\u5728\u5177\u6709\u76f8\u540c\u90e8\u9996\u7684\uf9fa\u6cc1\u4e0b\uff0c\u901a\u5e38\u4e5f\u6703\u6709\u7279\u5b9a\u7684\uf99a\u63a5\u65b9\u6cd5\u5982 100% \u4e0a\u898f\u5247{4\u30015}\uff1b{6\u30017}\uff0c\u56e0\u6b64\u76f8\u540c\u90e8\u9996\u53ca\u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5\u4e5f\u5728\u5206\u7fa4\u689d\u4ef6\u4e4b\u4e00\u3002\u5b8c\u6574\u5206 \u672c\u6587\u7684\u7814\u7a76\u76ee\u6a19\u4fc2\u63d0\u51fa\u4e00\u5957\u4ee5\u8072\u7b26\u70ba\u4e3b\u7684\u90e8\u4ef6\u6559\u5b78\u7b56\uf976\uff0c\u5c07\u69cb\u8a5e\u80fd\uf98a\u5f88\u5f37\u7684\u90e8\u4ef6\u653e\u5728\u8ab2 \u3120 TONE \u8abf\u865f {1,2,3,4,5} 0.3% \u7fa4\u689d\u4ef6\u512a\u5148\u6b0a\u5982\u4e0b\uff1a\u8072\u7b26\u3001\u8072\u7b26\u8072\u6bcd\u3001\u8072\u7b26\u97fb\u6bcd\u3001\u90e8\u9996\u3001\u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5\u3002\u6839\u64da\u9019\u4e9b \u7a0b\u7684\u524d\u9762\uff0c\u767c\u63ee\u300c\u4ee5\u7c21\u99ad\u7e41\u300d\u3001\u300c\u5feb\u901f\u638c\u63e1\u5f62\u8072\u5b57\u7684\u7d50\u69cb\u300d\u7b49\u90e8\u4ef6\u6559\u5b78\u7684\u512a\u9ede\uff0c\u52a0\u5f37\u5b78 6,625,518 5,144,742 3,879,619 2,809,951 1,810,585 4 CONNECT \u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5 {\u55ae\u9ad4\u5b57,\u5de6\u53f3\uf99a\u63a5,\u4e0a \u4e0b\uf99a\u63a5,\u5305\u570d\u5f0f,\u5176\u4ed6} 0.5% 1,573,613 1,149,779 802,029 500,708 \u5206\u7fa4\u512a\u5148\u689d\u4ef6\uff0c\u53ef\u5c07\u76f8\u540c\u6027\u8cea\u898f\u5247\u5206\u70ba\u540c\u7fa4\u3002 \u7fd2\u8005\uf9dd\u7528\u90e8\u4ef6\u7dda\uf96a\uf92d\u5b78\u7fd2\u65b0\u7684\u751f\u5b57\u7684\u89c0\uf9a3\uff0c\u63d0\u5347\u5176\u65bc\u6f22\u5b57\uf9fc\u5b57\u5b78\u7fd2\u4e0a\u7684\u80fd\uf98a\u3002 314,523 \u5de6\u53f3 PC \u8072\u7b26 \u5f62\u8072\u5b57 \u5305 PC_LOCATION \u8072\u7b26\u6240\u5728\u5f62\u8072\u5b57\u4e4b\u4f4d\u7f6e {\u5de6,\u53f3,\u4e0a,\u4e0b,\u5167,\u5176\u4ed6} \u53f3 1% 304,330 217,346 143,301 87,324 \u5728\u672c\u7bc7\uf941\u6587\u4e2d\uff0c\u6211\u5011\u5ef6\u7e8c\u6a5f\uf961\u5206\u4f48\u6bd4\u8f03\u6cd5\uff0c\u8003\u616e\u5230\u767c\u97f3\u4e00\u81f4\u6027\u5f37\u3001\u51fa\u73fe\u983b\uf961\u9ad8\u4e14\u90e8 50,054 4.2 \u898f\u5247\u7be9\u9078 \u4ef6\u7b46\u5283\uf969\u5c11\u7b49\u4e09\u7a2e\u56e0\u7d20\uff0c\u6211\u5011\u63d0\u51fa\u4e09\u7a2e\u90e8\u4ef6\u6392\u5e8f\u65b9\u6cd5\uff0c\u5176\u4e2d\u5e7e\u4f55\u4e58\u7a4d\u6cd5\u5728\u5ef6\u4f38\u5b78\u7fd2\u5b57\uf969 1. \u8072\u7b26\u7684\u8072\u6bcd=\u310c\uff0c\u8072\u7b26\u7684\u8abf=2\uff0c\u8072\u7b26\u6240\u5728\u4f4d\u7f6e=\u53f3\uff0c\u5f62\u8072\u5b57\u7b46\u5283\uf969=12-15 (sup=17) 2. \u8072\u7b26\u7684\u8072\u6bcd=\u310c\uff0c\u8072\u7b26\u7684\u7b46\u5283\uf969=L16\uff0c\u6f22\u5b57\u8207\u5176\u8072\u7b26\u7b46\u5283\u5dee\u503c=4-5 (sup=16) \u53ca\u7b46\u5283\uf969\u66f2\u7dda\u5716\u7684\u8868\u73fe\u4e0a\u8f03\u70ba\u51fa\u8272\u3002\u672c\uf941\u6587\u7684\u7b2c\u4e8c\u90e8\u4efd\u5247\u662f\u85c9\u7531\u5f62\u8072\u5b57\u7684\u7279\u5fb5\uff0c\u904b\u7528\u95dc \u5716 7. \u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u5206\u7fa4\u7d50\u679c \uf997\u63a2\u52d8\u6cd5\u5247\u6316\u6398\u51fa\u8a31\u591a\u767c\u97f3\u898f\u5247\u3002\u800c\u767c\u97f3\u898f\u5247\u7d93\u7531\u6211\u5011\u6b78\u7d0d\u5f8c\u53ef\u5206\u70ba\uff0c\u9ad8\u652f\u6301\ufa01\u8207\u9ad8\u4fe1</td></tr><tr><td colspan=\"3\">\u78ba\u9810\u6e2c\u8072\u6bcd\u500b\uf969\u8207\u97fb\u6bcd\u500b\uf969\u7684\u7e3d\u548c\u3002\u5f9e\u5716 3 \u4e2d\u53ef\u770b\u51fa\u5e7e\u4f55\u4e58\u7a4d\u6392\u5e8f\u8f03\u7dda\u6027\u52a0\u7e3d\u6cd5\uf92d\u7684\u6709 PC_INITIAL \u8072\u7b26\u7684\u8072\u6bcd {\u00f8,\u3105,\u3106,\u2026,\u3119} \u3105 \u6bcf\u689d\u95dc\uf997\u898f\u5247\u7686\u662f\u7531\"\u5de6\u908a\u689d\u4ef6[\u5de6\u652f\u6301\ufa01] \u53f3\u908a\u7d50\u679c[\u53f3\u652f\u6301\ufa01,\u4fe1\u8cf4\ufa01]\uff02\u7d44\u6210\u3002\u96d6\u7136 3. \u8072\u7b26\u7684\u8072\u6bcd=\u310c\uff0c\u8072\u7b26\u7684\u8abf=3\uff0c\u6f22\u5b57\u8207\u5176\u8072\u7b26\u7b46\u5283\u5dee\u503c=s3 (sup=16) \u6709\uf9ba\u4ee5\u4e0a\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u67e5\u8a62\u7cfb\u7d71\uff0c\u6211\u5011\u5373\u53ef\u8a2d\u5b9a\u6240\u9700\u689d\u4ef6\uff0c\u627e\u51fa\u76f8\u95dc\u767c\u97f3\u898f\u5247\u3002 \u8cf4\ufa01\uf978\u5927\uf9d0\u3002\u85c9\u7531\u9019\uf978\u5927\uf9d0\u7684\u898f\u5247\u80fd\u5e6b\u52a9\uf967\u540c\u7a0b\ufa01\u7684\u521d\u5b78\u8005\uf901\uf9e0\u65bc\u63a8\u6e2c\u672a\u77e5\u6f22\u5b57\u7684\u767c</td></tr><tr><td colspan=\"3\">\u6548\uff0c\u5728\u5b78\u5230 1000 \u5b57\u4ee5\u524d\u5e7e\u4f55\u4e58\u7a4d\u6392\u5e8f\u5448\u73fe\u5927\u5e45\ufa01\u7684\u6210\u9577\uff0c\u4e5f\u5c31\u662f\uf96f\uf974\u6211\u5011\u4f9d\u7167\u4e58\u7a4d\u6392\u5e8f \u7684\u90e8\u4ef6\u9806\u5e8f\uf92d\u5b78\u7fd2\uff0c\u4e00\u958b\u59cb\uf965\u80fd\u9054\u5230\u5feb\u901f\u5b78\u7fd2\u5230\u5927\uf97e\u7684\u5ef6\u4f38\u5b57\u3002\u8abf\u548c\u5e73\u5747\u6392\u5e8f\u63a1\u7528\u5e7e\u4f55 \u4e58\u7a4d\u8207\u7dda\u6027\u52a0\u7e3d\u7b97\uf969\u5e73\u5747\u6cd5\u7684\u8abf\u548c\uff0c\uf967\u904e\u5176\u8d70\u52e2\u5e7e\u4e4e\u8207\u5e7e\u4f55\u4e58\u7a4d\u6392\u5e8f\u76f8\u540c\uff0c\u9019\u9ede\u4e5f\u986f\u793a \u51fa\u5e7e\u4f55\u4e58\u7a4d\u6392\u5e8f\u660e\u986f\u512a\u65bc\u7dda\u6027\u52a0\u7e3d\u3002 \u6700\u5f8c\u6211\u5011\u4ee5\uf94f\u7a4d\u7b46\u756b\uf969\u7684\u5b78\u7fd2\u66f2\u7dda\uf92d\u770b(\u5716 4)\uff0c\u5e7e\u4f55\u4e58\u7a4d\u6392\u5e8f\u7684\uf94f\u7a4d\u7b46\u756b\uf969\u5b78\u7fd2\u66f2\u7dda \u4e5f\u8f03\u7dda\u6027\u52a0\u7e3d\u6392\u5e8f\u6240\u5f97\uf92d\u7684\u512a\uf962\u3002\u5716 3 \u7684\u6536\u6582\u9ede\u8207\u5716 4 \u7684\u7b46\u5283\uf969\u5927\u589e\u7684\u8f49\u6298\u9ede\u4e5f\u986f\u793a\uf9ba \u5728\u5b78\u7fd2\uf9ba 2200 \u500b\u90e8\u4ef6\u5f8c\uff0c\uf94f\u7a4d\u5ef6\u4f38\u5b57\uf969\u5df2\u5448\u98fd\u548c\uf9fa\u614b\uff0c\u986f\u793a\u63a5\u7e8c\u5176\u5f8c\u7684\u90e8\u4ef6\u5df2\u662f\u8907\u5408\u90e8 \u4ef6\u3002\u53e6\u5916\u5716 4 \u986f\u793a 2200 \u90e8\u4ef6\u4e4b\u5f8c\u7b46\u756b\uf969\u589e\u52a0\u901f\ufa01\u8f03\u5feb\uff0c\u53ef\u5224\u65b7\u6392\u5e8f\u5927\u65bc 2200 \u5f8c\u7684\u6f22\u5b57 \u591a\u662f\u8f03\u8907\u96dc\u7684\u5b57\uff0c\u4e26\uf967\u662f\u8feb\ufa00\u7684\u5b78\u7fd2\u5c0d\u8c61\u3002 4. \u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8 \u672c\u6587\u7b2c\u4e8c\u500b\u91cd\u9ede\u5728\u65bc\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u7684\u63a2\u52d8\uff0c\u85c9\u7531\u5df2\u6a19\u8a18\u7684\u5f62\u8072\u5b57\u8072\u7b26\uff0c\u627e\u51fa\u8072\u7b26\u8207\u5ef6 \u4f38\u7684\u5f62\u8072\u5b57\u4e4b\u9593\u662f\u5426\u6709\u5e38\ufa0a\u7684\u767c\u97f3\u898f\u5247\u3002\u70ba\uf9ba\u8981\u7522\u51fa\uf9e0\u61c2\u7684\u767c\u97f3\u898f\u5247\uff0c\u8b93\u6f22\u5b57\u7684\u5b78\u7fd2\u53ef \u4ee5\u61c9\u7528\u5f62\u8072\u5b57\u7684\u7279\u6027\uf92d\u63a8\u6e2c\u5b57\u7684\u767c\u97f3\uff0c\u5728\u672c\u6587\u4e2d\u6211\u5011\u5c07\u61c9\u7528\u95dc\uf997\u898f\u5247\u63a2\u52d8 Apriori \u6f14\u7b97\u6cd5 \u505a\u70ba\u63a2\u52d8\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u7684\u65b9\u6cd5\u3002\u6bcf\u4e00\u689d\u95dc\uf997\u898f\u5247\u5fc5\u9808\u7b26\u5408\u6700\u5c0f\u652f\u6301\ufa01(support)\u53ca\u6700\u5c0f \u4fe1\u8cf4\ufa01(confidence)\uff0c\u5c0d\u65bc\u5b78\u7fd2\u8005\u624d\u7b97\u6709\u7528\u3002\u4ee5\u4e0b\u6211\u5011\u9996\u5148\u4ecb\u7d39\u5982\u4f55\u6e96\u5099\u5f62\u8072\u5b57\u6210\u70ba\u95dc\uf997 \u898f\u5247\u63a2\u52d8\u6240\u9700\u8981\u7684\u4ea4\uf9e0\u8cc7\uf9be\uff0c\u4ee5\u53ca\u898f\u5247\u7684\u7be9\u9078\u8207\u5206\u7fa4\uff0c\u4ee5\u53ca\u6700\u7d42\u6240\u5f97\u7684\u767c\u97f3\u898f\u5247\u3002 \u5716 4. \u90e8\u4ef6\u6392\u5e8f\u8207\u7b46\u756b\uf969\u5b78\u7fd2\u66f2\u7dda\u6bd4\u8f03\u5716 4.1 \u5f62\u8072\u5b57\u4ea4\uf9e0\u8cc7\uf9be \u95dc\uf997\u898f\u5247\u63a2\u52d8\u539f\u672c\u7684\u76ee\u7684\u662f\u5f9e\u8d85\u5e02\u8cfc\u8cb7\u4ea4\uf9e0\u8a18\uf93f\u7684\u8cc7\uf9be\u5eab\u4e2d\uff0c\u627e\u51fa\u7522\u54c1\u4e4b\u9593\u88ab\u8cfc\u8cb7\u7684\u95dc \uf997\u7a0b\ufa01\uff0c\u5176\u4e3b\u8981\u4f9d\u64da\u70ba\u652f\u6301\ufa01(support)\u53ca\u4fe1\u8cf4\ufa01(confidence)\u3002\u5176\u4e2d\u652f\u6301\ufa01\u4ee3\u8868\u4e00\u500b\u898f\u5247 \u7684\u6db5\u84cb\uf961(\u5168\u90e8\u4ea4\uf9e0\u8cc7\uf9be\u4e2d\u6709\u591a\u5c11\u767e\u5206\u6bd4\u8b93\u898f\u5247\u70ba\u771f)\uff0c\u800c\u4fe1\u8cf4\ufa01\u5247\u4ee3\u8868\u4e00\u500b\u898f\u5247\u7684\u6e96 \u78ba\uf961(\u524d\u63d0\u70ba\u771f\u7684\u60c5\u6cc1\u4e0b\uff0c\u6709\u591a\u5c11\u767e\u5206\u6bd4\u8cc7\uf9be\u8b93\u7d50\u679c\u4e5f\u540c\u6642\u70ba\u771f)\u3002\u95dc\uf997\u898f\u5247\u63a2\u52d8\u662f\u8cc7 \uf9be\u63a2\u52d8\uf9b4\u57df\u6700\u70ba\u5ee3\u6cdb\u4f7f\u7528\u7684\u5de5\u5177\uff0c\u8a31\u591a\u8cc7\uf9be\u63a2\u52d8\u8edf\u9ad4\u90fd\u63d0\u4f9b\u6b64\u9805\u529f\u80fd\uff0cWeka 2 \u5373\u662f\u773e\u591a \u8cc7\uf9be\u63a2\u52d8\u8edf\u9ad4\u5176\u4e2d\u4e4b\u4e00\u3002\u70ba\uf9ba\u63a8\u6e2c\u767c\u97f3\u898f\u5247\uff0c\u6211\u5011\u4ee5\u5e38\u7528\u5b57\u4e2d\u7684 3000 \u500b\u5f62\u8072\u5b57\u6e96\u5099\u6210 3000 \u7b46\u4ea4\uf9e0\u8cc7\uf9be\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u90e8\u4efd\u662f\uff0c\u7531\u65bc\u7b46\u5283\uf969\u4e43\uf969\u503c\u6027\u5c6c\u6027\uff0c\u70ba\u80fd\u904b\u7528\u95dc\uf997\u8cc7\uf9be\u63a2\u52d8\u6280\u8853\uff0c\u6211\u5011 \u7d71\u8a08\uf9ba\u6f22\u5b57\u69cb\u5f62\u8cc7\uf9be\u5eab\u4e2d\u6240\u6709\u7684\u6f22\u5b57\u7684\u7b46\u5283\uf969\u5c07\u5176\u5e73\u5206\u70ba\u4e09\uf9d0\uff0c\u5206\u5225\u662f\u7b46\u5283\u5c0f\u65bc\u7b49\u65bc 11\u3001 \u4ecb\u65bc 12-15\u3001\u5927\u65bc\u7b49\u65bc 16\u3002\u540c\u6642\u5f62\u8072\u5b57\u8207\u5176\u8072\u7b26\u7b46\u5283\u5dee\u503c\uff0c\u4e5f\u5c31\u662f\u90e8\u9996\u7684\u7b46\u5283\uf969\u4e5f\u5206\u70ba \u4e09\uf9d0\uff0c\u5206\u5225\u662f\u7b46\u5283\u5c0f\u65bc\u7b49\u65bc 3\u3001\u4ecb\u65bc 4-5\u3001\u5927\u65bc\u7b49\u65bc 6\u3002\u6bcf\u7b46\u5f62\u8072\u5b57\u4ea4\uf9e0\u8cc7\uf9be\u6240\u5305\u542b\u7684\u9805 PC_FINAL \u8072\u7b26\u7684\u97fb\u6bcd {\u00f8,\u4e00,\u3128,\u2026,\u3126} \u3120 PC_TONE \u8072\u7b26\u7684\u8abf\u865f {1,2,3,4,5} 1 STROKE \u5f62\u8072\u5b57\u7b46\u5283\uf969 L16 \u8868\u793a&gt;=16 b12-15 \u8868\u793a\u4ecb\u65bc 12 \u8207 15 s11 \u8868&lt;=11 {s11, b12-15, L16} s11 PC_STROKE \u8072\u7b26\u7b46\u5283\uf969 {s11, b12-15, L16 } s11 Diff_STROKE \u5f62\u8072\u5b57\u8207\u5176\u8072\u7b26\u7b46\u5283\u5dee \u503c {s3, b4-5, L6} 4-5 INITIAL_UNCHANGED(IU) \u5f62\u8072\u5b57\u8072\u6bcd\u767c\u97f3\uf967\u8b8a {false , true} IU=false FINAL_UNCHANGED(FU) \u5f62\u8072\u5b57\u97fb\u6bcd\u767c\u97f3\uf967\u8b8a {false , true} FU=true TONE_UNCHANGED(TU) \u5f62\u8072\u5b57\u8072\u8abf\uf967\u8b8a {false , true} TU=false \u95dc\uf997\u898f\u5247\u63a2\u52d8\u53ef\u4ee5\u53d6\u5f97\u70ba\uf969\uf967\u5c11\u7684\u767c\u97f3\u898f\u5247\uff0c\u4f46\u5176\u4e2d\u6709\u8a31\u591a\u662f\uf967\u7b26\u5408\u6211\u5011\u9810\u671f\u7684\u898f\u5247\u3002 4. \u90e8\u9996=\u8278\uff0c\u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5=\u4e0a\u4e0b\uf99a\u63a5\uff0csupport=22 \u8209\uf9b5\uf92d\uf96f\uff0c\u9ad8\u652f\u6301\ufa01 3%\u3001\u4fe1\u8cf4\ufa01 80%\u4e14\u8072\u6bcd\u767c\u97f3\uf967\u8b8a\u7684\u689d\u4ef6\u4e0b\u7684\u898f\u5247\u5171\u6709 15 \u689d\uff0c\u5171\u5206 \u97f3\u3002 \u5716 8. \u67e5\u770b\u767c\u97f3\u898f\u5247\uf9b5\u5916\u5b57(\uf967\u7b26\u5408 R1 \u7684\uf9b5\u5916\u5b57) \u8209\uf9b5\uf92d\uf96f\uff1a PC_LOCATION=\u53f3 (sup=2054) CONNECT =\u5de6\u53f3 (sup=2054, conf=1) \u4e0a\u8ff0\u9019\u689d\u898f\u5247\u8868\u793a\"\uf974\u8072\u7b26\u4f4d\u7f6e\u5728\u53f3\uff0c\u5247\u5f62\u8072\u5b57\uf99a\u63a5\u65b9\u5f0f\u70ba\u5de6\u53f3\uf99a\u63a5\uff02\u3002\u50cf\u9019\u6a23\u7684 \u898f\u5247\u5c0d\u767c\u97f3\u7684\u63a8\u6e2c\u5176\u5be6\u4e26\u6c92\u6709\u5e6b\u52a9\u3002\u53c8\u5982\u4ee5\u4e0b\u898f\u5247\uff1a\"\uf974\u5f62\u8072\u5b57\u8072\u6bcd\u767c\u97f3\u70ba\u3105\uff0c\u5247\u5176\u8072 \u7b26\u8072\u6bcd\u767c\u97f3\u70ba\u3105\uff02\uff0c\u50cf\u9019\u6a23\u7684\u898f\u5247\u4e5f\u7121\u52a9\u65bc\u63a8\u6e2c\u767c\u97f3\u3002\u7531\u65bc\u6211\u5011\u7684\u672c\u610f\u662f\u8b93\u5b78\u7fd2\u8005\u5728\u5177 \u5099\u57fa\u790e\u8072\u7b26\u7684\u95b1\uf95a\u80fd\uf98a\u4e0b\uff0c\uf9dd\u7528\u5c0d\u8072\u7b26\u7684\u76f8\u95dc\u8a8d\u77e5\uff0c\uf92d\u63a8\u6e2c\u51fa\uf901\u591a\u5c1a\u672a\u8a8d\uf9fc\u7684\u5f62\u8072\u5b57\u767c \u5716 5. \u767c\u97f3\u898f\u5247\u689d\u4ef6\u7bc4\uf9b5 \u91dd\u5c0d\u8072\u6bcd\uf967\u8b8a(IU)\u53ca\u97fb\u6bcd\uf967\u8b8a(FU)\u7684\u689d\u4ef6\u4e0b\uff0c\u6211\u5011\u5c07\u67e5\u8a62\u6240\u5f97\u898f\u5247\u7d93\u904e\u5206\u7fa4\u4e4b\u5f8c\u7684 \u6240\u5f97\u7d50\u679c\u5448\u73fe\u65bc\u8868 5\u3002\u5982\u8868\u6240\u793a\uff0c\u5206\u7fa4\u4e4b\u5f8c\uff0c\u767c\u97f3\u95dc\uf997\u898f\u5247\u5373\u53ef\u5927\u5e45\u6e1b\u5c11\uff0c\u6709\u52a9\u65bc\u898f\u5247 5. \u90e8\u9996=\u8278\uff0c\u8072\u7b26\u6240\u5728\u4f4d\u7f6e=\u4e0b\uff0csupport=22 6. \u90e8\u9996=\uf981\uff0c\u5f62\u8072\u5b57\u7684\uf99a\u63a5\u65b9\u6cd5=\u5de6\u53f3\uf99a\u63a5\uff0csupport=15 7. \u90e8\u9996=\uf981\uff0c\u8072\u7b26\u6240\u5728\u4f4d\u7f6e=\u53f3\uff0csupport=15 \u5716 6. \u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u67e5\u8a62\u4ecb\u9762(http://hanzi.ncu.edu.tw/picpho/pronrule.php) \u67e5\u8a62\u7cfb\u7d71\u4e3b\u8981\u4f9d\u64da\u524d\u8ff0\u300c\u5f62\u8072\u5b57\u767c\u97f3\u898f\u5247\u63a2\u52d8\u9805\u76ee\u96c6\u300d\u7684\u7279\u5fb5\u70ba\u67e5\u8a62\u689d\u4ef6\uff0c\u5de6\u908a\u662f \u5df2\u77e5\u689d\u4ef6\uff0c\u53f3\u908a\u662f\u63a8\u6e2c\u7d50\u679c\uff0cw \u4ee3\u8868\u6b32\u63a8\u6e2c\u767c\u97f3\u4e4b\u5f62\u8072\u5b57\u3002\u300c\u5de6\u65b9\u689d\u4ef6\u9650\u5236\u300d\u7684\u529f\u80fd\u5247 \u53ef\u7be9\u9078\u904e\u9577\u7684\u898f\u5247\u3002\u7531\u65bc\u592a\u9577\u7684\u898f\u5247\u901a\u5e38\uf967\uf9dd\u65bc\u4eba\u5011\u8a18\u8aa6\uff0c\u56e0\u6b64\u672c\u7cfb\u7d71\u9810\u8a2d\u689d\u4ef6\uf969\u5c0f\u65bc \u7b49\u65bc\u4e09\u3002\u5176\u4ed6\u9810\u8a2d\u67e5\u8a62\u689d\u4ef6\u70ba\u300c\u4fe1\u8cf4\ufa01 &gt;= 70%\u300d\uff0c\u300c\u652f\u6301\ufa01 &gt;= 60\u300d\u3002\u7576\u300c\u4e0b\u8f09\u5b8c\u6210\u300d \u6210 3 \u7d44\uff0c\u5982 R1-R3 \u6240\u793a\u3002 (R1) \u8072\u7b26\u7684\u8072\u6bcd=\u310c (supp:197) \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:178, conf:0.9) (R2) \u8072\u7b26\u7684\u8072\u6bcd=\u3107 (supp:128) \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:105, conf:0.82) (R3) w \u7684\u7b46\u5283\uf969=L16 , \u8072\u7b26\u7684\u7b46\u5283\uf969=L16 (supp:123) \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:98, conf: 0.8) \u898f\u5247\u4e00(R1)\uf96f\u660e\u8072\u7b26\u7684\u8072\u6bcd\uf974\u70ba\u310c\u7684\u524d\u63d0\u4e0b\uff0c\u5f62\u8072\u5b57\u7684\u8072\u6bcd\u767c\u97f3\u5c07\u7dad\u6301\u310c(\u8072\u7b26\uf9b5 \u5b57\uff1a\uf98a\uf9a8\uf9f7\uf99c\uf934\uf9dd\uf980\uf97c\uf9e9\uf92d\u4f96\uf978\u623e\uf925\uf9f4\u5774\u590c\u5f54\u524c\u90ce\uf9da\uf9cd\u5a41\uf94f\uf99a\uf92f\uf97e\uf9a2\uf936\uf949\u8c4a\uf9c7\uf986\u53b2\u616e\uf914 \u76ee\u524d\u6709\u95dc\u90e8\u4ef6\u767c\u97f3\u5f37\ufa01\u7684\u8a08\u7b97\uff0c\u4ee5\u53ca\u5f62\u8072\u5b57\u767c\u97f3\u7684\u95dc\uf997\u898f\u5247\u96d6\u5df2\u5b8c\u6210\uff0c\u4f46\u662f\u5c0d\u65bc\u8f14 \u53c8\u5982\u67e5\u8a62\u9ad8\u4fe1\u8cf4\ufa01 100%\u3001\u652f\u6301\ufa01 0.5%\u3001\u4e14\u8072\u6bcd\u8207\u97fb\u6bcd\u5747\u672a\u6539\u8b8a\u7684\u898f\u5247\uff0c\u53ef\u5f97 34 \u52a9\u4ee5\u8072\u7b26\u70ba\u4e3b\u7684\u90e8\u4ef6\u6559\u5b78\u6559\u6750\u7de8\u8f2f\uff0c\u4ecd\u6709\uf967\u8db3\u4e4b\u8655\u3002\u8209\uf9b5\uf92d\uf96f\uff0c\u7531\u65bc\u95dc\uf997\u898f\u5247\u63a2\u52d8\u53ef\u80fd \u689d\u7b26\u5408\u689d\u4ef6\u7684\u898f\u5247\uff0c\u5206\u6210 5 \u7d44\uff0c\u5982 R4-R8 \u6240\u793a\u3002\u898f\u5247\u5de6\u65b9\u7684\u652f\u6301\ufa01\u8868\u793a\u6eff\u8db3\u5de6\u65b9\u689d\u4ef6 \u627e\u5230\u76f8\u7576\u591a\u7684\u898f\u5247\uff0c\u800c\u4e14\u67d0\u4e9b\u898f\u5247\u53ef\u7531\u5176\u4ed6\u898f\u5247\u6db5\u84cb\uff0c\u56e0\u6b64\u5982\u4f55\u627e\u51fa\u4e00\u7d44\u6700\u91cd\u8981\u7684\u898f\u5247 \u7684\u5e38\u7528\u5f62\u8072\u5b57\uff0c\u898f\u5247\u53f3\u65b9\u7684\u652f\u6301\ufa01\u5247\u70ba\u6eff\u8db3\u6574\u500b\u898f\u5247\u7684\u5e38\u7528\u5f62\u8072\u5b57\u3002\u8209\uf9b5\uf92d\uf96f\u898f\u5247\u4e03(R7) \u6db5\u84cb\u6108\u591a\u7684\u5e38\u7528\u5b57\u53ca\u5c07\u767c\u97f3\u898f\u5247\u6392\u5e8f\uff0c\u5247\u662f\u6b64\u8655\u6211\u5011\u5fc5\u9808\u8981\u89e3\u6c7a\u7684\u554f\u984c\u3002\u518d\u8005\uff0c\u6f22\u5b57\u6559 \uf96f\u660e\u8072\u7b26\u7684\u8072\u6bcd\u70ba\u3112\u3001\u8072\u8abf\u70ba\u4e00\u8072\u4e14\u8072\u7b26\u7b46\u5283\uf969\u5c0f\u65bc\u7b49\u65bc 11 \u7684\u6642\u5019\uff0c\u5247\u884d\u751f\u5f62\u8072\u5b57\u7684\u8072 \u5b78\u6b65\u9a5f\u901a\u5e38\u70ba\u5148\u6559\u7368\u9ad4\u5b57\uff0c\u518d\u6559\u7c21\u55ae\u5408\u9ad4\u5b57\uff0c\u6700\u5f8c\u6559\u8907\u96dc\u5408\u9ad4\u5b57\u3002\u4f46\u4e26\u975e\u6bcf\u500b\u90e8\u9996\u548c\u4efb \u6bcd\u8207\u97fb\u6bcd\u5747\uf967\u6539\u8b8a\uff1b\u7b26\u5408\u9019\u689d\u898f\u5247\u7684\u5f62\u8072\u5b57\u4e2d\u5305\u542b\u7684\u8072\u7b26\u5305\u62ec\u300c\u5e0c\u300d\u3001\u300c\u6790\u300d\u3001\u300c\u5ba3\u300d\u3001 \u4f55\u8072\u7b26\u90fd\u53ef\u7d44\u6210\u5408\u9ad4\u5b57\uff0c\u5c0d\u521d\u5b78\u8005\u800c\u8a00\uff0c\u53ef\u80fd\u51fa\u73fe\u504f\u65c1\u90e8\u9996\u5f35\u51a0\uf9e1\u6234\u7684\u60c5\u5f62\u3002\u5982\u4f55\u5e6b\u52a9 \u300c\u661f\u300d\u3001\u300c\u76f8\u300d\u3001\u300c\u80e5\u300d\u3001\u300c\u595a\u300d\u7b49\u884d\u751f\u7684 16 \u500b\u5e38\u7528\u5f62\u8072\u5b57\u3002\uf967\u904e\u4f7f\u7528\u8005\uf974\u662f\u67e5\u770b\u7b26\u5408 \u5b78\u7fd2\u8005\u91d0\u6e05\u9019\u4e9b\u5dee\uf962\uff0c\u4e5f\u662f\u6311\u6230\u4e4b\u4e00\u3002 \u898f\u5247\u7684\u5f62\u8072\u5b57\uff0c\u5247\u540c\u6642\u53ef\u4ee5\u770b\u5230\u5176\u4ed6\u7b26\u5408\u689d\u4ef6\u7684\u975e\u5e38\u7528\u5f62\u8072\u5b57\uff0c\u5982\u300c\u5fc3\u300d \u3001 \u300c\u5148\u300d \u3001 \u300c\u897f\u300d\u3001 \u97f3\u3002\u56e0\u6b64\u5408\u6cd5\u7684\u898f\u5247\u61c9\u8a72\u5177\u5099:\"\u8072\u7b26\u689d\u4ef6\u6216\u5f62\u8072\u5b57\u7b46\u5283\uf969\uff02 \"\u5f62\u8072\u5b57\u767c\u97f3\u6216\u5f62\u8072\u5b57\u767c \u97f3\u4e4b\u8b8a\u5316\uff02\u3002\u6839\u64da\u6b64\u4e00\u7be9\u9078\u539f\u5247\uff0c\u6211\u5011\u7d71\u8a08\u51fa\u6700\u5c0f\u652f\u6301\ufa01\u8207\u6700\u5c0f\u4fe1\u8cf4\ufa01\uf967\u540c\uf96b\uf969\u4e0b\u5408\u6cd5 \u7684\u898f\u5247\uf969\u5982\u8868 4\u3002\u6700\u5f8c\u6211\u5011\u5b58\u5165 368,810 \u689d\u898f\u5247\u65bc\u8cc7\uf9be\u5eab\u4e2d\u3002 \u8868 4. \u7be9\u9078\u5f8c\u898f\u5247\uf969 conf sup 60% 70% 80% 90% 100% 0.3% 368,810 272,957 195,735 152,152 106,740 0.5% 61,171 32,089 15,243 7,561 5,190 1% 13,470 6,340 1,889 505 42 \u7684\u89c0\u5bdf\u8207\uf9ba\u89e3\u3002 \u51fa\u73fe\u5f8c\uff0c\u6240\u6709\u7b26\u5408\u689d\u4ef6\u7be9\u9078\u7684\u898f\u5247\uff0c\u7d93\u7531\u5206\u7fa4\u5f8c\u6703\u986f\u793a\u5728\u4ecb\u9762\u7684\u6700\u4e0b\u65b9\uff0c\uf967\u540c\u6027\u8cea\u7684\u898f \u5247\u6703\u7528\uf967\u540c\u5e95\u8272\u505a\u5340\u9694(\u5982\u5716 7) \u3002\u6bcf\u689d\u898f\u5247\u4e2d\u90fd\u6709\u53ef\u4f9b\u7d30\u9805\u67e5\u8a62\u7684\uf99a\u7d50\u3002\u7576\u6211\u5011\u9078\u64c7[\u67e5 \uf986\uf939\u757e\u6b74\uf933\u8cf4\uf9c4\u95cc\uf90f\uf988\uf91f\u89bd)\uff1b\u898f\u5247\u4e8c(R2)\u986f\u793a\u8072\u7b26\u7684\u8072\u6bcd\uf974\u70ba\u3107\u7684\u524d\u63d0\u4e0b\uff0c\u5f62\u8072\u5b57\u7684 \u8072\u6bcd\u767c\u97f3\u5c07\u7dad\u6301 \u3107(\u8072\u7b26\uf9b5\u5b57\uff1a\u6728\u672b\u6bdb\u6bcd\u6c11\u518a\u76ee\u77db\u540d\u725f\u7c73\u514d\u6bcf\u5b5f\u660e\u9580\u5192\u67d0\u7709\u7707\u7f8e\u82d7\u9762\u51a5 \u300c\u6790\u300d\u3001\u300c\u6b23\u300d\u3001\u300c\u9999\u300d\u3001\u300c\u6089\u300d\u3001\u300c\u8129\u300d\u7b49\u8072\u7b26\u6240\u884d\u751f\u7684\u5f62\u8072\u5b57\u3002\u898f\u5247\u516b(R8)\u5247\uf96f\u660e \uf96b\u8003\u6587\u737b \u7576\u8072\u7b26\u7684\u97fb\u6bcd\u70ba\u3124\u3001\u8072\u8abf\u70ba\u4e00\u8072\u3001\u8072\u7b26\u7b46\u5283\uf969\u5c0f\u65bc\u7b49\u65bc 11 \u4e14\u8072\u7b26\u8207\u90e8\u9996\u70ba\u5de6\u53f3\uf99a\u63a5\u7684\u6642 \u8868 5. \u7b26\u5408\u8072\u6bcd\uf967\u8b8a\u6216\u97fb\u6bcd\uf967\u8b8a\u7684\u898f\u5247\uf969\u53ca\u5206\u7fa4\u5f8c\u898f\u5247\uf969 \u770b]\uf99a\u7d50\uff0c\u5247\u53ef\u986f\u793a\u6eff\u8db3\u6574\u689d\u898f\u5247(\u5305\u542b\u5de6\u65b9\u524d\u63d0\u53ca\u53f3\u65b9\u7d50\u679c)\u7684\u5f62\u8072\u5b57\uff1b\u9664\u6b64\u4e4b\u5916\uff0c[\uf9b5 \u5019\uff0c\u5247\u884d\u751f\u5f62\u8072\u5b57\u7684\u8072\u6bcd\u8207\u97fb\u6bcd\u5747\uf967\u6539\u8b8a\uff1b\u7b26\u5408\u9019\u689d\u898f\u5247\u7684\u5f62\u8072\u5b57\u4e2d\u5305\u542b\u7684\u8072\u7b26\u5305\u62ec \u300c\u65b9\u300d \u3001 \u8a31\u614e\u64b0\uff0c\u6bb5\u7389\u88c1\u6ce8(1999)\u3002\u300a\uf96f\u6587\u89e3\u5b57\u6ce8\u300b, \u53f0\uf963\u85dd\u6587\u5370\u66f8\u9928\u3002 \u8ff7\u83bd\u83ab\u9ebb\u60b6\u8cb7\u9594\u6eff\u8499\u8c8c\u9ebc\u78e8\u77a2\u5f4c) \uff1b\u898f\u5247\u4e09(R3)\u5247\u654d\u8ff0\u8072\u7b26\u7684\u7b46\u5283\uf969\uf974\u5927\u6216\u7b49\u65bc 16 \u4ee5\u4e0a\uff0c Confidence Condition 60% 70% 80% 90% 100% IU, FU 3454/332 2004/225 1097/139 597/73 \u5916\u5b57]\u5247\u53ef\u67e5\u51fa\u7a76\u7adf\u6709\u54ea\u4e9b\u5f62\u8072\u5b57\u662f\u7b26\u5408\u5de6\u65b9\u524d\u63d0\uff0c\u4f46\u662f\uf967\u7b26\u5408\u53f3\u65b9\u7d50\u679c\u7684\u5f62\u8072\u5b57\u3002\u5176\u4ed6 \uf99a\u7d50\u5247\u53ef\u986f\u793a\u7b26\u5408\u55ae\u4e00\u689d\u4ef6\u7684\u5f62\u8072\u5b57\uff0c\u5982[\u90e8\u9996=\u6728]\uf99a\u7d50\uff0c\u53ef\u986f\u793a\u51fa\u6240\u6709\u90e8\u9996\u70ba\u6728\u7684\u5f62\u8072 \u300c\u90a6\u300d\u3001\u300c\u5ca1\u300d\u3001\u300c\u660c\u300d\u7b49\u884d\u751f\u7684 17 \u500b\u5e38\u7528\u5f62\u8072\u5b57\u3002 \u838a\u5fb7\u660e\u3001\u8b1d\u6e05\u4fca(2005)\u3002\u300a\u6f22\u5b57\u69cb\u5f62\u8cc7\uf9be\u5eab\u7684\u5efa\u7f6e\u8207\u61c9\u7528\u300b\uff0c\u6f22\u5b57\u8207\u5168\u7403\u5316\u570b\u969b\u5b78\u8853\u7814 \u5247\u5f62\u8072\u5b57\u7684\u767c\u97f3\u4e5f\u591a\u7dad\u6301\u539f\u672c\u8072\u7b26\u7684\u8072\u6bcd\u767c\u97f3(\u8072\u7b26\uf9b5\u5b57\uff1a\u5180\u5b34\u6b74\u71d5\uf933\u78e8\u7a4c\u7e23\u7fb2\u7ff0\u856d\u8b01 (R4) \u8072\u7b26\u7684\u8072\u6bcd=\u310c, \u8072\u7b26\u7684\u8abf=3, w\u8207\u8072\u7b26\u7b46\u5283\uf969\u5dee\u503c=s3 (supp:16) \u8a0e\u6703\uff0c\u53f0\uf963 \u3002 \u8cf4\u983b\uf9c4\u77a2\u8931\u5b30\u5f4c\u6bda\u7235\u8944\u95cc\u96b1\u971c\u9bae\u97f1\u77bf\u8076\u8f49\uf9ea\u9b4f\u84f6\uf90f\u85dd\u8d0a\u985b\uf988\u56b4\uf9f0\u8607\u89ba\u77cd\u7c63\u89bd\u9738\u5f4e)\uff0c\uf967 264/39 IU 9002/486 5383/383 3067/262 1758/161 809/91 FU 12171/690 8373/608 4855/470 2673/325 1392/189 \u5b57\uff0c[\u8072\u7b26\u7684\u8072\u6bcd=\u310c]\u53ef\u627e\u51fa\u6240\u6709\u8072\u7b26\u8072\u6bcd\u662f\u310c\u7684\u5f62\u8072\u5b57\u3002 \u904e\u7b2c\u4e09\u500b\u898f\u5247\uff0c\u7531\u65bc\u7b46\u5283\uf969\u9ad8\uff0c\u5c0d\u65bc\u521d\u5b78\u8005\uf92d\uf96f\u5e6b\u52a9\uf967\u5927\u3002\u9664\uf9ba\u67e5\u770b\uf9b5\u5b57\u4e4b\u5916\uff0c\u4f7f\u7528\u8005 \u838a\u5fb7\u660e\u3001\u9127\u8ce2\u745b(2008)\u3002\u300a\u6587\u5b57\u5b78\u5165\u53e3\u7db2\u7ad9\u7684\u898f\u756b\u300b\uff0c\u7b2c\u56db\u5c46\u4e2d\u570b\u6587\u5b57\u5b78\u570b\u969b\u5b78\u8853\u7814\u8a0e \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a, \u97fb\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:16, conf:1) [\u67e5\u770b],[\uf9b5\u5916\u5b57] \u6703\uff0c\u5c71\u6771\u7159\u53f0\u3002 \u4e5f\u53ef\u67e5\u770b\uf9b5\u5916\u5b57\uff0c\uf9ba\u89e3\u7b26\u5408\u524d\u63d0(\u8072\u7b26\u7684\u8072\u6bcd=\u310c)\u4f46\u662f\u8072\u6bcd\u767c\u97f3\u537b\u6539\u8b8a\u7684\u5f62\u8072\u5b57\ufe5d\ufa0a\u5716 (R5) \u8072\u7b26\u7684\u8072\u6bcd=\u310c, \u8072\u7b26\u7684\u8abf=2, \u8072\u7b26\u6240\u5728\u4f4d\u7f6e=\u53f3, w\u7684\u7b46\u5283\uf969=12-15 (supp:17) \u8463\u9d6c\u7a0b(2007)\u3002\u300a\u53f0\u7063\u83ef\u8a9e\u6587\u6559\u5b78\u7684\u904e\u53bb\u3001\u73fe\u5728\u8207\u672a\uf92d\u5c55\u671b\u300b\uff0c\u591a\u5143\u6587\u5316\u8207\u65cf\u7fa4\u548c\u8ae7\u570b 8\ufe5e\u3002 \u8072\u6bcd\u767c\u97f3=\uf967\u8b8a, \u97fb\u6bcd\u767c\u97f3=\uf967\u8b8a (supp:17, conf:1) [\u67e5\u770b],[\uf9b5\u5916\u5b57] \u969b \u7814 \u8a0e \u6703 \uff0c \u53f0 \uf963 \u6559 \u80b2 \u5927 \u5b78 \u3002</td></tr><tr><td colspan=\"2\">2 http://www.cs.waikato.ac.nz/ml/weka/ \u76ee\u5c6c\u6027\u5982\u8868 2 \u6240\u793a\u3002</td><td/></tr></table>",
                "html": null
            }
        }
    }
}