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.
This paper presents a case study on data mining services able to support decision makers in strategic planning for the enhancement of small handheld devices. The application provides e-Knowledge services for the analysis of territorial dynamics by processing and modeling huge amount of data, in order to discover rules and patterns in a distributed and heterogeneous content environment. For the analysis of structured data, the application covers the whole Knowledge Discovery process. The purpose of the paper is to show how to implement existing techniques in a flexible architecture for providing new added value services. Finally in our paper, we proposed a RSRM( Read Subset Removal Miner) algorithm for mining on mobile devices.
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