文章基本信息

标题：DATA MINING TECHNIQUES FOR DATABASE PREDICTION: STARTING POINT
本地全文：下载
作者：WAEL SAID ; M.M. Hassan ; AMIRA M. FAWZY 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：23
出版社：Journal of Theoretical and Applied
摘要：With more evolution in technology, the database increased and came more complex and huge. Also, the search process in these data became complicated and takes a lot of time to reach valuable information. So, we need to an intelligent tool to deal with this problem. Data mining techniques can a solution to this problem. It is point out excavating knowledge from massive amounts of data. Techniques of data mining used in many fields such as pattern recognition and recommender systems here used within a database to improve the search process. This research displays different data mining techniques (decision tree, association rule, a neural network, fuzzy set ...) and shows cases of data mining techniques combined with a database. This paper directed to help new researchers take an overview of data mining techniques that can use in database prediction to enhance the search process.
关键词：Data Mining; Prediction Methods; Classification; Cluster; Database.