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http://dx.doi.org/10.14400/JDC.2014.12.11.257

A Study on the Data Mining Preprocessing Tool For Efficient Database Marketing  

Lee, Jun-Seok (Dept. of Business Administration, Dongnam Health University)
Publication Information
Journal of Digital Convergence / v.12, no.11, 2014 , pp. 257-264 More about this Journal
Abstract
This paper is to construction of the data mining preprocessing tool for efficient database marketing. We compare and evaluate the often used data mining tools based on the access method to local and remote databases, and on the exchange of information resources between different computers. The evaluated preprocessing of data mining tools are Answer Tree, Climentine, Enterprise Miner, Kensington, and Weka. We propose a design principle for an efficient system for data preprocessing for data mining on the distributed networks. This system is based on Java technology including EJB(Enterprise Java Beans) and XML(eXtensible Markup Language).
Keywords
Big data; Data Mining; Data Mining Tool; Preprocessing; Database Marketing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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