DISCOVERING ACCURATE AND COMMON CHARACTERISTIC RULES FROM LARGE TABLES

NCUIR > School of Management at National Central University > Department of Business Administration > journal & Dissertation > Item 987654321/51751

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51751

Title:	DISCOVERING ACCURATE AND COMMON CHARACTERISTIC RULES FROM LARGE TABLES
Authors:	Liu,YC;Hsu,PY
Contributors:	企業管理學系
Keywords:	DECISION TREES;PERSPECTIVE
Date:	2011
Issue Date:	2012-03-27 19:04:36 (UTC+8)
Publisher:	國立中央大學
Abstract:	With the wide installation of eBusiness and database software in enterprises, mountains of data are accumulating in the form of relational tables. Discovering valuable information from the sea of data is of interest to researchers and managers worldwide. In this paper, an algorithm is proposed to find characteristics from a large database table. It can be applied to find characteristics of customers in a particular segments or the characteristics of patients, ..., etc. In contrast to traditional data generalization or induction methods, the proposed new method, named Char, does not need a concept tree in advance and can generate a manual set of characteristic rules that are precise enough to describe the main characteristics of the data. The simulation results show that the characteristic rules found by Char are efficient as well as consistent regardless of the number of records and of attributes in the dataset.
Relation:	INTELLIGENT AUTOMATION AND SOFT COMPUTING
Appears in Collections:	[Department of Business Administration ] journal & Dissertation

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