DocumentCode :
685813
Title :
Multi-Agent System for data classification from data mining using SVM
Author :
Ponni, J. ; Shunmuganathan, K.L.
Author_Institution :
Dept. of IT, Vels Univ., Chennai, India
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
828
Lastpage :
832
Abstract :
Most of the databases are multi-relational, but the existing data mining approaches verify the classification rules in a single data relation. This paper introduces an efficient algorithm for mining important classification rule for multi-relational database using distributed data mining ideas. To achieve this, an Intelligent Agent is used. An Intelligent agent is an entity that observes and acts upon an environment to achieve its goal. We have implemented a novel distributed data mining method to mine(classify) important rules in multiple relations and to improve efficiency of the mining, we have combined Support Vector Machines (SVM) algorithm. This arrangement is useful for classifying the details from different sources based on support vector machine´s algorithm.
Keywords :
data mining; distributed databases; multi-agent systems; pattern classification; relational databases; software agents; support vector machines; JADE; SVM algorithm; data classification; distributed data mining method; important classification rule mining; intelligent agent; multiagent system; multirelational database; support vector machine algorithm; Algorithm design and analysis; Classification algorithms; Data mining; Databases; Decision making; Forecasting; Support vector machines; JADE; agent technology; data mining; support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1109/ICGCE.2013.6823548
Filename :
6823548
Link To Document :
بازگشت