Dealing with Large Datasets Using an Artificial Intelligence Clustering Tool

被引：0

作者：

Moschopoulos, Charalampos N. ^{[1
]}

Tsiatsis, Panagiotis ^{[1
]}

Beligiannis, Grigorios N. ^{[2
]}

Fotakis, Dimitrios ^{[3
]}

Likothanassis, Spiridon D. ^{[1
,4
]}

机构：

[1] Univ Patras, Dept Comp Engn & Informat, GR-26500 Patras, Greece

[2] Univ Ioannina, Dept Business Administration Food & Agr, Ioannina GR-30100, Greece

[3] Univ Aegean, Dept Informat & Commun Syst Engn, Karlovassi 83200, Greece

[4] Univ Patras, Dept Comp Engn & informat, GR-26500 Patras, Greece

来源：

TOOLS AND APPLICATIONS WITH ARTIFICIAL INTELLIGENCE | 2009年 / 166卷

关键词：

EXPLORATION; SYSTEM;

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：

Nowadays. clustering on very large datasets is a very common task. In many scientific and research areas such its bioinformatics and/or economics, Clustering on very big datasets has to be performed by people that are not familiar with computerized methods. In this contribution, an artificial intelligence clustering tool is presented which is user friendly and includes various powerful clustering algorithms that arc able to cope with very large datasets that vary in nature. Moreover, the tool. presented in this contribution, allows the combination of various intelligence algorithms in order to achieve better results. Experimental results show that the proposed artificial intelligence clustering tool is very flexible and has significant computational power, a fact that makes it suitable for Clustering applications of very large datasets.

引用

页码：105 / +

页数：3

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