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The Applied Research of Data Mining Techniques in the E-Commerce Website

Author: YuYue
Tutor: QuWeiPing
School: Anhui University of Technology
Course: Computer technology
Keywords: data mining commercial logic commercial use platformconstructing
CLC: TP311.13
Type: Master's thesis
Year: 2012
Downloads: 169
Quote: 0
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With the rapid development of IT. enterprises use mor and more modern IT in the fierce market competition to improve competitiveness. Decision-making date mining sytems and knowledge management systems are booming. Currently, data mining research focus gradually from the discovery method to system applications. focusing on a variety of strategies and technology integration, and mutual penetration between a variety of disciplines. How to combine data mining technology and application, and meanwhile maintaining scalability and flexibility of the system, building data mining business applications suitable for business users have become one of the most urgent problems needed to be solved.This paper will make a research on the work involved in the field of electronic commerce and the main content by research on data mining algorithms, the design and implementation of data mining platform, and data mining application example.Firstly. this paper sums up the problems of data mining technology in the process of the commercial application by the data mining concepts and algorithms in datail, proposed the general idea of constructing data mining business application platform and made theoretical basis of this study and research directions clear.Then, on the basis of the practical application of research. this paper discusses the three architectures of the data mining business application platform (client layer, middle layer and data services layer), and describes the main function of the layers in detail.Lastly, this paper designs and implements an e-commerce data mining platform, analyses the businese data of an e-commerce website and verify the algorithms of DMFP and the performance of data mining platform by combining data mining algorithms and other related technologies.

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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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