Rule generation based on rough set theory for text classification

被引：0

作者：

Bi, YX ^{[1
]}

Anderson, T ^{[1
]}

McClean, S ^{[1
]}

机构：

[1] Univ Ulster, Fac Informat, Newtownabbey BT37 0QB, Antrim, North Ireland

来源：

RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XVII | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe an approach based on rough set techniques for decision rule generation applied to text classification. A minimal discriminating set - a reduct - for the original data set is achieved through analyzing the degree of dependency among attributes. To speed up the search for reducts, the information gain criterion is used to reduce the number of attributes considered and rank the attributes in decreasing order, and heuristic functions are incorporated into a range of rule generation algorithms.

引用

页码：157 / 170

页数：14

共 50 条

[1] Rule generation based on rough set theory
Wang, GY
Wu, Y
Fisher, PS
DATA MINING AND KNOWLEDGE DISCOVERY: THEORY, TOOLS, AND TECHNOLOGY II, 2000, 4057 : 181 - 189
[2] A New Rough Set Based Classification Rule Generation Algorithm(RGA)
Feng, Honghai
Chen, Yanyan
Zou, Kaiwei
Liu, Lijuan
Zhu, Qiannan
Ran, Zhuo
Yao, Li
Ji, Lijin
Liu, Sai
MODERN ADVANCES IN APPLIED INTELLIGENCE, IEA/AIE 2014, PT I, 2014, 8481 : 369 - 378
[3] An efficient text classification rule extraction method based on χ value and rough set
Wang, Ye
Wang, Ming-Chun
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1552 - +
[4] A new rough set based classification rule generation algorithm (RGI)
Feng, Honghai
Chen, Yanyan
Ni, Qing
Huang, Junhui
2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 1, 2014, : 380 - 385
[5] Classification and rule updating based on rough set theory in dynamic databases
Zhang, XM
Tong, LY
An, LP
PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, VOLS I AND II, 2001, : 334 - 338
[6] An analysis of rule generation in fault diagnosis based on rough set theory
Zhao Xi-lin
Zhou Jian-zhong
Yang Jun-jie
Wu Wei
Liu Fang
Proceedings of 2006 International Conference on Artificial Intelligence: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 694 - 697
[7] Classification and rule induction using rough set theory
Beynon, M
Curry, B
Morgan, P
EXPERT SYSTEMS, 2000, 17 (03) : 136 - 148
[8] Rough Set Based Approach to Text Classification
Zhang, Libiao
Li, Yuefeng
Sun, Chao
Nadee, Wanvimol
2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY - WORKSHOPS (WI-IAT), VOL 3, 2013, : 245 - 252
[9] On the Definability of a Set and Rough Set-Based Rule Generation
Sakai, Hiroshi
Wu, Mao
Yamaguchi, Naoto
2014 IIAI 3RD INTERNATIONAL CONFERENCE ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2014), 2014, : 122 - 125
[10] Partition for the rough set-based text classification
Bao, YG
Asai, D
Du, XY
Ishii, N
ADVANCES IN WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS, 2003, 2762 : 181 - 188

← 1 2 3 4 5 →