Cellular Automata Based Dynamic Pattern Classifying Machine For Distributed Data Mining

被引：0

作者：

Meshkboo, Behnaz ^{[1
]}

Kangavari, Mohammadreza ^{[1
]}

机构：

[1] Isalam Azad Univ, Neyriz Branch, Tehran, Iran

来源：

COMPLEXITY IN ARTIFICIAL AND NATURAL SYSTEMS, PROCEEDINGS | 2008年

关键词：

dynamic pattern classifying machine; distributed data mining; cellular automata; and heuristic function;

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 present the design and application of a dynamic pattern classifying machine (DPCM) for distributed data mining (DDM) environment. The DPCM is based on a special class of sparse network referred to as Cellular Automata (CA). The desired CA is evolved with an efficient formulation of Genetic Algorithm (GA). Extensive experimental results with respect to classification accuracy and memory overhead confirm the scalability of the DPCM to handle distributed datasets.

引用

页码：128 / 133

页数：6