Analysis with Data Mining and Ant Colony Algorithm for Implementing of Object Pool Optimization

Author

Haneef, Farha ; Kushwaha, Ganesh Raj ; Dubey, Ashutosh K.

Author_Institution

Dept. of Comput. Sci., BIST, Bhopal, India

fYear

2011

fDate

3-5 June 2011

Firstpage

313

Lastpage

317

Abstract

In essence, the goal of data mining is to extract knowledge from data. Data mining is an inter-disciplinary field, whose core is at the intersection of machine learning, statistics and databases. J2ME services play an important role in the field of Communication industry. In this paper, we discuss and analyze the consumptive behaviour and a detailed analysis of Ant Colony Algorithm for implementation of object pool optimization. We also discuss some of the wireless technologies like CLDC, MIDP and RMS so that our comprehensive study can achieve the goal of implementation of Object Pool. The goal is to discover knowledge that is not only accurate but also comprehensible based on Ant Colony algorithm.

Keywords

Java; data mining; learning (artificial intelligence); mobile communication; mobile computing; optimisation; CLDC; J2ME service; MIDP; RMS; ant colony algorithm; communication industry; data mining; database; knowledge discovery; knowledge extraction; machine learning; object pool optimization; statistics; wireless technology; Algorithm design and analysis; Ant colony optimization; Clustering algorithms; Data mining; Java; Optimization; Virtual machining; Ant Colony; CLDC; MIDP; Object Pool;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2011 International Conference on

Conference_Location

Katra, Jammu

Print_ISBN

978-1-4577-0543-4

Electronic_ISBN

978-0-7695-4437-3

Type

conf

DOI

10.1109/CSNT.2011.72

Filename

5966460