data mining

Jul 5th, 2016
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Virginia International University
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Research paper

Word Count: 2142
Showing Page: 1/13
CMP 627 Data MiningTemporal Data Mining1ABSTRACTTemporal data mining consists of several disciplines, statistics, temporal patternrecognition, databases, optimisation, visualisation, high-performance and parallel computing.During data mining process treating data that contains temporal information has become oneof the main unresolved problems. This happens because of the discovery of the hidden datawhich includes data classification, data clustering and relationship finding. In such cases, datashould be viewed as sequence of events. Temporal sequences usually appear in manydomains like engineering, medicine, finance etc. Extracting information from these domainsis difficult for the information society.This paper on temporal data mining gives an overview of the temporal data mining inresearch and applications. It also provides significant techniques which were developed in thepast years to deal with temporal sequences.2Table of Contents:1. Introduction. 42. Definition and tasks of temporal data mining. 53. Temporal data mining techniques .. 74. Temporal data mining problems . 85. Time series96. Challenges and future of temporal data mining...107. Conclusion128. References

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