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The Application of Data Mining for Larger Retail Bookstore

Author: ZhangZheng
Tutor: XuXueZhou;ZhengChaoZuo
School: Xi'an University of Electronic Science and Technology
Course: Software Engineering
Keywords: Data Mining Online analytical processing Frequent pattern growth Trend analysis
CLC: TP311.13
Type: Master's thesis
Year: 2006
Downloads: 76
Quote: 0
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Large retail bookstore run after years of information technology , has accumulated a large amount of data , how to analyze these data has become an urgent need to address the problems of these enterprises , if only to rely on the past by a simple summary of analysis by the specified mode A statistical method is unable to complete the analysis of such data . Therefore, the application of data mining techniques (including online analytical processing ) become an inevitable choice . Every year to produce a large number of papers and articles explore data mining technology , but the papers of the books in this industry is very rare. This paper first introduces the existing information management system for a large retail bookstores , and information management system based on the characteristics of the book industry , the proposed implementation framework applicable to large retail bookstores data mining system subsequently in this the framework is based on a frequent pattern growth algorithm - based applications , and a trend of time series data analysis methods . Before an application can solve the problem of the book reasonably placed ; latter method can help enterprises to predict future sales trends in order to develop a reasonable development plan .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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