A SURVEY ON TECHNIQUES FOR MINING FREQUENT PATTERNS OVER DATA STREAM
Author(s):
NIYATI M. MEVADA, JAYNA B. SHAH
Keywords:
frequent itemsets , data stream
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.
Article Details
Unique Paper ID: 143345

Publication Volume & Issue: Volume 2, Issue 10

Page(s): 128 - 131
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