Study of Data Mining Approach for Mobile Computing Environment

Efficient Data mining Techniques are required to discover useful Information andknowledge. This is due to the effective involvement of computers and the improvement inDatabase Technology which has provided large Data. The mobile Data Allocation scheme is proposed such that the data are replicated st...

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Published in:International journal on computer science and engineering 2012-12, Vol.4 (12), p.1920-1920
Main Authors: Shelke, R R, Thakare, V M, Dharaskar, R V
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Communication systems
Data mining
Mines
Mobile communication systems
Mobile computing
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container_title International journal on computer science and engineering
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creator Shelke, R R
Thakare, V M
Dharaskar, R V
description Efficient Data mining Techniques are required to discover useful Information andknowledge. This is due to the effective involvement of computers and the improvement inDatabase Technology which has provided large Data. The mobile Data Allocation scheme is proposed such that the data are replicated statically for traditional Databases' for which themoving patterns of Mobile users to mine the results and improve the Mobile system are used.Data mining services play an important role in the field of mobile communication industry. Data mining is also called knowledge discovery in several database including mobile databases. In thispaper,study of different data mining algorithms in mobile environment is given . Algorithms for maximum moving path,create,select , update, alter is studied .
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subjects Algorithms
Allocations
Communication systems
Data mining
Mines
Mobile communication systems
Mobile computing
title Study of Data Mining Approach for Mobile Computing Environment
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