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A SURVEY ON TECHNIQUES FOR MINING FREQUENT PATTERNS OVER DATA STREAM

  • Unique Paper ID: 143345
  • Volume: 2
  • Issue: 10
  • PageNo: 128-131
  • Abstract:
  • Mining frequent itemsets in a data stream proves to be a difficult problem, as itemset arrives in rapid succession and storing parts of the stream is typically impossible. Finding frequent pattern from data streams have been of importance in many applications such as stock market prediction, sensor data analysis, e-business, network traffic analysis and telecommunication data analysis. In this paper, few recent and popular methods for extracting patterns from stream data have been studied. Also a comparative study of different methods with reference to the conditions in which they work, their benefits and drawbacks of these methods are presented in this work.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 10
  • PageNo: 128-131

A SURVEY ON TECHNIQUES FOR MINING FREQUENT PATTERNS OVER DATA STREAM

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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