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Study of Data Mining Approach for Mobile Computing Environment

机译:移动计算环境中数据挖掘方法的研究

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摘要

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.
机译:需要有效的数据挖掘技术来发现有用的信息和知识。这是由于计算机的有效参与以及提供大量数据的数据库技术的改进。提出了移动数据分配方案,以便可以为传统数据库静态复制数据?数据挖掘服务在移动通信行业中扮演着重要的角色。数据挖掘在包括移动数据库在内的多个数据库中也称为知识发现。本文对移动环境中不同的数据挖掘算法进行了研究。研究了最大移动路径,创建,选择,更新,更改的算法。

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