多分类-关联规则分类的一种改进算法

Journal of Applied Sciences ›› 2005, Vol. 23 ›› Issue (6): 615-619.

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An Improved Classification Algorithm Based on Multiple Class-Association Rules

ZHAO Chuan-shen, SUN Zhi-hui

Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China

Received:2004-08-11 Revised:2004-10-27 Online:2005-11-30 Published:2005-11-30

Abstract

Abstract: Classification is an important aspect in data mining research.In this paper, a new associative classification algorithm, fast classification based on multiple association rules (FCMAR), is proposed.This algorithm removes items that do not generate frequent rules so that storage space is saved and efficiency improved.Experimental results show that the FCMAR algorithm is efficient and effective.

Key words: classification, frequent pattern tree (FP-tree), associative classification, data mining

CLC Number:

TP311

ZHAO Chuan-shen, SUN Zhi-hui. An Improved Classification Algorithm Based on Multiple Class-Association Rules[J]. Journal of Applied Sciences, 2005, 23(6): 615-619.

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An Improved Classification Algorithm Based on Multiple Class-Association Rules

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