Classifier maintenance system of Database classification for Metasearch engine

• Main Authors: Chen,Zei-Rong, 陳志榮
• Other Authors: Jun-Lin Lin
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/88173848066171337303

碩士 === 元智大學 === 資訊管理學系 === 90 === The Internet has become a vast information resource in recent years. To help ordinary users find desired data in Internet, many search engines have been created , but no one can contain the all information of Internet. Users are hard to choose which search engines are suitable for use and spend extra time to learn to use each different search engines. Metasearch engine offer mechanisms to search for the search engine that suitable for user needs. The selection algorithm used by a Metasearch engine to determine whether a search engine should be sent the query. Database classification is part of Database selection process. Database classification have increased selection procedure efficiency. Accuracy is important in Database classification. If Database classification. The wrong classification affect the accuracy and efficiency of database selection procedure. In this study, A Classifier maintenance system is designed and implemented. The main propose is to avoid the bad classifyer. The accurate classification procedure could improve efficacy of database selection.