Feature description systems for clusters by using logical rule generations based on the genetic programming and its applications to data mining

被引：0
|
作者：
Lu, Jianjun [1 ,2 ]
Liu, Yunling [1 ]
Tokinaga, Shozo [2 ]
机构：
[1] Chinese Agr Univ, Beijing 100083, Peoples R China
[2] Kyushu Univ, Grad Sch Econom, Fukuoka 812, Japan
来源：
COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS | 2007年 / 4490卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with the realization of retrieval and feature description systems for clusters by using logical rule generations based on the Genetic Programming (GP). At first, whole data is divided into several clusters and the rules are improved based the GP. The fitness of individuals is defined in proportion to the hits of corresponding logical expression to the samples in targeted cluster c, but also in inversely proportion to the hits outside the cluster c. The GP method is applied to various real world data by showing effective performance compared to conventional methods.
引用
收藏
页码：162 / +
页数：2
相关论文
共 28 条
  • [1] Realization of feature description systems for clusters by rule generation based on genetic programming and its applications
    Lu, Jianjun
    Kishikawa, Yoshinori
    Tokinaga, Shozo
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS, 2007, 90 (09): : 87 - 97
  • [2] Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications
    Alex A. Freitas
    Genetic Programming and Evolvable Machines, 2001, 2 (2) : 197 - 199
  • [3] Genetic Programming Based Data Mining Approach to Dispatching Rule Selection in a Simulated Job Shop
    Baykasoglu, Adil
    Gocken, Mustafa
    Ozbakir, Lale
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2010, 86 (12): : 715 - 728
  • [4] Neural network rule extraction by using the Genetic Programming and its applications to explanatory classifications
    Tokinaga, S
    Lu, JJ
    Ikeda, Y
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2005, E88A (10) : 2627 - 2635
  • [5] Network Intrusion Detection Using Class Association Rule Mining Based on Genetic Network Programming
    Chen, Ci
    Mabu, Shingo
    Shimada, Kaoru
    Hirasawa, Kotaro
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2010, 5 (05) : 553 - 559
  • [6] Approximation of chaotic dynamics by using smaller number of data based upon the genetic programming and its applications
    Ikeda, Y
    Tokinaga, S
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2000, E83A (08) : 1599 - 1607
  • [7] An improvement method for the workflow management systems based on the reallocation of flows using the genetic programming and its applications
    Tokinaga, S
    Tominaga, M
    JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN, 2003, 46 (03) : 286 - 305
  • [8] Evolving rule-based systems in two medical domains using genetic programming
    Tsakonas, A
    Dounias, G
    Jantzen, J
    Axer, H
    Bjerregaard, B
    von Keyserlingk, DG
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2004, 32 (03) : 195 - 216
  • [9] Mining Fuzzy Association Rules: A General Model Based on Genetic Network Programming and its Applications
    Taboada, Karla
    Mabu, Shingo
    Gonzales, Eloy
    Shimada, Kaoru
    Hirasawa, Kotaro
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2010, 5 (03) : 343 - 354
  • [10] Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming
    Chen, Ci
    Mabu, Shingo
    Yue, Chuan
    Shimada, Kaoru
    Hirasawa, Kotaro
    2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 60 - 67
123