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A Novel Wireless Heterogeneous Data Mining (WHDM) Environment Based on Mobile Computing Environments

机译:基于移动计算环境的新型无线异构数据挖掘(WHDM)环境

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Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we propose a novel algorithm named Wireless Heterogeneous Data Mining (WHDM). The entire system architecture consists of three phases: 1) Reading the Database. 2) Stores the value in Tbuf with different patterns. 3) Add the superset in the list and remove the related subset from the list. Finally we find the frequent pattern patterns or knowledge from huge amount of data. We also analyze the better method or rule of data mining services which is more suitable for mobile devices. Our simulation result shows better performance and efficiency on different heterogeneous environment.
机译:如今,数据挖掘服务的概念还远远不够。数据挖掘服务在通信行业领域中发挥着重要作用。数据挖掘在包括移动数据库和异构环境在内的多个数据库中也称为知识发现。在本文中,我们提出了一种称为无线异构数据挖掘(WHDM)的新颖算法。整个系统架构包括三个阶段:1)读取数据库。 2)用不同的模式将值存储在Tbuf中。 3)在列表中添加超集,并从列表中删除相关的子集。最后,我们从大量数据中找到频繁的模式模式或知识。我们还将分析更适合移动设备的更好的数据挖掘服务方法或规则。我们的仿真结果显示了在不同异构环境下的更好的性能和效率。

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