Mining Temporal Sequences Using Transform Techniques

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
One of the main unresolved problems that arise during the data mining process is treating data that contains temporal information. In this situation, to get a good knowledge of entire data requires that the data should be viewed as sequence of events. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Temporal data mining is a rapidly evolving area of research that is at the intersection of several disciplines, including statistics, temporal pattern recognition, temporal databases, optimization, visualization, high-performance computing, and parallel computing. This paper is first intended to serve as an overview of the temporal data mining in research and applications.
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