# A Review of Data Mining with Big Data towards Its Applications in the Electronics Industry
## 3 Article Selection and Distribution  
The electronics industry is composed of organizations involved in the design, development, manufacture, assembly, and service of electronic equipment and components. These organizations offer a wide variety of products that range from government products, industrial products, consumer products, and electronic components as four primary segments. Each category serves a specific market, which allows it to focus on components and products geared toward their customers. The government market is primarily developed for aircraft and military products, as well as communication technology and medical devices. Industrial products include large-scale computers, radio and television broadcasting equipment, telecommunications equipment, and electronic office equipment, while consumer products are the well-known televisions, cell phones, DVD players, smartphones, radios, video game systems, personal computers, electronic ovens, and home intercommunication and alarm systems. The final segment the manufacturers produce and sell includes electron tubes, semiconductors, printed circuit boards (PCB), and passive components [25].  
Based on the initial search from databases with keywords such as DM, Big Data, and electronics, we found that most of the articles were related to consumer products and components. Therefore, articles related to DM with Big Data applications in consumer electronics and components were selected here. On this basis, the article selection was conducted in which the period of interest for this literature survey ranges from 2007 to 2017. In October 2017, a search was made according to the following conditions:  
(1) Database: Science Direct, IEEE Xplore Digital Library, Springer Link, Taylor & Francis Online, Wiley Online Library, SAGE Journal, Web of Science, and Google Scholar  
(2) Stages: design, production, sale, service, and recycling  
(3) Products: electronic products, integrated circuit, wafer, semiconductor, PCB, phone, and computer  
(4) DM-related concepts: data mining, Big Data, and knowledge discovery  
(5) DM functions: Prediction, classification, clustering, association, product/process characterization, time series analysis, outlier detection, and anomaly detection.  
A total of 105 application studies within the scope of this review were found. The distribution of the selected articles in different years and different stages are illustrated in Figure 3. It can be seen that 17% (17 articles) were related to the stage of product and manufacturing process design [26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42], and more than 75% (80 articles) applied DM and Big Data to production management and control in the stage of production [43; 44; 45; 46; 47; 48; 49; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; 100; 101; 102; 103], but less than 8% (8 articles) of applications focused on the stage of sale, service, and recycling [123; 124; 125; 126; 127; 128; 129; 130]. The fluctuation in quantity of the selected articles in different years presents no obvious tendency, however, it indicates that the topic has attracted ongoing attention and research during the past decades, and the application areas have been extended and many new approaches have been developed.