Kalman Filter Based Flexible Sliding Window Algorithm for Mining Frequent Itemset Over Data Stream

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
A data stream mining is relevant issue in the context of information gain. The data arrived are large in amount limitless and high rate with time impractical to stock, excavating and testimony at identical measure of time to retrieve intelligence. Sliding window model utilized for frequent pattern mining data stream mining emphasis on recent data and minimum space consumed. In past algorithm, window measurement change was steady to concept variation when stagnant and gets smaller when the concept variation happens.
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