{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T06:35:46Z","timestamp":1718174146939},"reference-count":28,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2010,2]]},"abstract":"<jats:p> Database classification suffers from two common problems, i.e., the high dimensionality and nonstationary variations within the large historic data. This paper presents a hybrid classification model by integrating a case-based reasoning technique, a Support Vector Machine (SVM), and Genetic Algorithms to construct a decision-making system for data classification in various database applications. The model is mainly based on the concept that the historic database can be transformed into a smaller case-base together with a group of SVM models. As a result, the model can more accurately respond to the current data under classifying from the inductions by these SVM models generated from these smaller case bases. Hit rate is applied as a performance measure and the effectiveness of our proposed model is demonstrated by experimentally compared with other approaches on different database classification applications. The average hit rate of our proposed model is the highest among others. <\/jats:p>","DOI":"10.1142\/s0218126610005950","type":"journal-article","created":{"date-parts":[[2010,2,22]],"date-time":"2010-02-22T11:18:45Z","timestamp":1266837525000},"page":"31-44","source":"Crossref","is-referenced-by-count":1,"title":["DATABASE CLASSIFICATION BY INTEGRATING A CASE-BASED REASONING AND SUPPORT VECTOR MACHINE FOR INDUCTION"],"prefix":"10.1142","volume":"19","author":[{"given":"YEN-WEN","family":"WANG","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, Ching-Yun University, 229, Chien-Hsin Road, Chung-Li, 32026, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"PEI-CHANN","family":"CHANG","sequence":"additional","affiliation":[{"name":"Department of Information Management, Yuan Ze University, 135 Yuan-Tung Road, Tao-Yuan, 32026, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHIN-YUAN","family":"FAN","sequence":"additional","affiliation":[{"name":"Department of Business Innovation and Development, Ming Dao University, 369 Wen-Hua Road, Changhua, 52345, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHIUNG-HUA","family":"HUANG","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, Ta Hwa Institute of Technology, Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.09.023"},{"key":"rf5","first-page":"81","volume":"6","author":"Selim S. 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