On a rough sets based data mining tool in prolog: An overview

被引：0
|
作者：
Sakai, Hiroshi [1 ]
机构：
[1] Kyushu Inst Technol, Fac Engn, Dept Math & Comp Aided Sci, Kitakyushu, Fukuoka 804, Japan
来源：
DECLARATIVE PROGRAMMING FOR KNOWLEDGE MANAGEMENT | 2006年 / 4369卷
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：
Rough Non-deterministic Information Analysis (RNIA) is a framework for handling rough sets based concepts, which are defined in not only DISs (Deterministic Information Systems) but also NISs (Non-deterministic Information Systems), on computers. RNIA is also recognized as a framework of data mining from uncertain tables. This paper focuses on programs in prolog, and briefly surveys a software tool for RNIA.
引用
收藏
页码：48 / 65
页数：18
相关论文
共 50 条
  • [31] The mining of customer knowledge rules based on rough sets
    Wan, LH
    Hou, JZ
    Li, YJ
    Dong, JW
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS 1 AND 2, 2004, : 229 - 234
  • [32] On a rough sets based tool for generating rules from data with categorical and numerical values
    Sakai, Hiroshi
    Koba, Kazuhiro
    Ishibashi, Ryuji
    Nakata, Michinori
    MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4617 : 269 - +
  • [33] Data Mining of ACO-based Rough Sets and Application in Construction Projects Cost Analysis
    Shi Huawang
    Cao Huishu
    FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 251 - +
  • [34] Rough set theory: A data mining tool for semiconductor manufacturing
    Kusiak, A
    IEEE TRANSACTIONS ON ELECTRONICS PACKAGING MANUFACTURING, 2001, 24 (01): : 44 - 50
  • [35] Application of rough sets in power system control center data mining
    Lambert-Torres, G
    2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, : 627 - 631
  • [36] Special issue - Rough sets, pattern recognition and data mining - Preface
    Pal, SK
    Skowron, A
    PATTERN RECOGNITION LETTERS, 2003, 24 (06) : 829 - 831
  • [37] Knowledge Mining for Fault Diagnosis Based on Rough Sets Theory
    Zhao, Chunhua
    Zhao, Xinze
    Gao, Hongliang
    Wu, Gang
    2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 744 - 749
  • [38] Mining class-bridge rules based on rough sets
    Zhang, Shichao
    Chen, Feng
    Jin, Zhi
    Wang, Ruili
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 6453 - 6460
  • [39] Mining Approximative Descriptions of Sets Using Rough Sets
    Simovici, Dan A.
    Mimaroglu, Selim
    ISMVL: 2009 39TH IEEE INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC, 2009, : 66 - 71
  • [40] Rules mining in hierarchical rough sets
    Yang, Wei
    Miao, Duoqian
    Feng, Qinrong
    2012 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC 2012), 2012, : 605 - 608
12345