Patent TW-201828096-A (TW)
Title: Price technical analysis method using data transmission structure to process data category clustering capable of reducing error rates and increasing accuracy of carrier aggregation
Inventor: ZHAOLI YING-JI
IPC: G06F17/18
Filed: 2017-01-20
Abstract: Provided is a processing method for analyzing category clustering data by using a code division multiple access (CDMA) structure, which includes a step of processing data category clustering by using a data transmission structure to implement longitudinal and transverse division of the number of data clustering. For the longitudinal division, sampling is performed in a rugged space and a variable slope is used as a segment piecewise pairs linear category clustering. For the transverse division, a distance, an angle and a slope are used as variables category affinity grouping with logically identity. The step of performing code division multiple access principle data clustering according to divided data includes: encoding, outputting data, generating channel module, calculating error rate, receiving data, and removing code. Through a carrier aggregation structure, one of a 12-month moving average value or sine wave generation is selected as a carrier. After data is processed through a weight adjustment step, an adjusted slope is used as aggregate data. The carrier is subtracted from the aggregate data to have carrier aggregation for performing data category clustering price technical analysis. If necessary, special data (such as seasonal or cycle data) category clustering is transmitted to a backend host to find an analysis rule according to the historical record. Transverse composite variable channel combination and longitudinal section are segmented into pairwise linear relationship programming clustering module group number. Real code generation is used as data code for code division multiple access data transmission, so as to transmit composite variable channel combination data in the same channel. For data transmission and data reception of the code division multiple access, in addition to real code generation of data code of data transmission, there are three other output data including MA 12 carrier, pseudo code (weight), and carrier aggregation. After receiving data, actual current month value is restored, and the slope value of this month and the actual value of the previous month are accumulated one by one, so that a MA 12 (12-month moving average) curve graph is finally formed. The FCM clustering algorithm is a commonly used clustering algorithm. The FCM clustering algorithm of general MA 12 in accordance with the present invention has an error rate = 15/104. In comparison, the error rate of the preferred embodiment of the present invention using the same FCM clustering algorithm is very low, through the processing method for analyzing the category clustering data with the code division multiple access structure. The three error rates includes MA 12 carrier aggregation error rate = 6/104, sine wave carrier aggregation error rate = 3/104, and adjusted sine wave carrier aggregation error rate = 1/104. The error rates are dramatically reduced, which indicates that carrier aggregation has a high accuracy rate. Therefore, the present invention provides a precise data category clustering price technical analysis.