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Data Association Rules Mining Based on Extenics

Author: LuBaoHua
Tutor: GaoXinBo
School: Xi'an University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Data Mining Extenics Association rules Correlation Apriori algorithm
CLC: TP311.13
Type: Master's thesis
Year: 2009
Downloads: 179
Quote: 1
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Abstract


Data mining play an increasingly important role as an emerging interdisciplinary applications , decision support activities are from all walks of life . Data mining an important task is to find the association rules in the database that is valuable database itemsets rules or contact . Meanwhile , with a large number of data collection and storage , the harder it is to find hidden valuable rules between data items set . Extenics establish data mining provides a new means and methods , and open up a new mining algorithm . The research work of this paper is the extension theory on the basis of the current data mining association rules , correlation , and the extension data association rule mining . First , this paper systematically introduces Extenics theoretical framework and a common method , Extension Matter Element Theory and data mining algorithms to combine building element model of the database objects , complex database simplifies become intuitive and simple database so that expression of greater clarity , and reduces the amount of data calculation in the next step rule mining . Secondly, we start from the traditional data mining algorithms , and make full use of the knowledge Extenics Apriori algorithm based on the proposed extension in the relational database data association rule mining algorithm . Boolean value converted to a relational database on a multi-valued attribute , association rule mining algorithms and Extenics correlation thinking Extension data association rule mining database , gained a lot of valuable association rules . Finally, concludes the paper and gives further direction .

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