Rough sets as a framework for data mining

被引：0

作者：

Butalia, A. H. ^{[1
]}

Dhore, M. L. ^{[1
]}

机构：

[1] VIT, Dept Comp, Pune, Maharashtra, India

来源：

IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2007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：

The issues of Real World are: a) Very large data sets b) Mixed types of data (continuous valued, symbolic data) c) Uncertainty (noisy data) d) Incompleteness (missing, incomplete data) e) Data change f) Use of background knowledge The main goal of the rough set analysis is induction of approximations of concepts. Rough sets constitute a sound, basis for KDD. It offers mathematical tools to discover patterns hidden in data. It can be used for feature selection, feature extraction, data reduction, decision rule generation, and pattern extraction (templates, association rules) etc. Recent extensions of rough set theory have developed new methods for decomposition of large data sets, data mining in distributed and multi-agent systems, and granular computing.

引用

页码：728 / +

页数：2

共 50 条

[41] A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
Li, Tianrui
Ruan, Da
Geert, Wets
Song, Jing
Xu, Yang
[J]. KNOWLEDGE-BASED SYSTEMS, 2007, 20 (05) : 485 - 494
[42] Improvement of the Data Mining Algorithm of Rough Set under the Framework of Map/Reduce
Wang, Ying
Liu, Jiqing
Liu, Qiong
[J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING COMPANION (ISCC-C), 2014, : 550 - 556
[43] Application of rough sets algorithm to classification rule mining
Wang, Xuyang
Li, Ming
[J]. 2005 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND TECHNOLOGY, PROCEEDINGS, 2005, : 359 - 364
[44] The mining of customer knowledge rules based on rough sets
Wan, LH
Hou, JZ
Li, YJ
Dong, JW
[J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS 1 AND 2, 2004, : 229 - 234
[45] Data Mining of ACO-based Rough Sets and Application in Construction Projects Cost Analysis
Shi Huawang
Cao Huishu
[J]. FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 251 - +
[46] Knowledge expression in the intelligence decision support system & the exploration of the data mining on the theory of rough sets
Lu, L
[J]. PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, VOLS I AND II, 2001, : 179 - 184
[47] Data mining in distribution consumer database using rough sets and self-organizing maps
Cerchiari, S. C.
Teurya, A.
Pinto, J. O. P.
Lambert-Torres, G.
Sauer, L.
Zorzate, E. H.
[J]. 2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 38 - 43
[48] Data mining and metrics on data sets
Biebler, Karl-Ernst
Wodny, Michael
Jaeger, Bernd
[J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 638 - +
[49] Data Mining on Imbalanced Data Sets
Gu, Qiong
Cai, Zhihua
Zhu, Li
Huang, Bo
[J]. 2008 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING, 2008, : 1020 - 1024
[50] Data Mining and Modelling of Charpy Impact Energy for Alloy Steels Using Fuzzy Rough Sets
Colas-Marquez, R.
Mahfouf, M.
[J]. IFAC PAPERSONLINE, 2017, 50 (01): : 14970 - 14975

← 1 2 3 4 5 →