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Pattern Based Filtering Approach for Big Data Application

Authors(2):

Bhagyshri Adhau, Dr. V. T. Gaikwad
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Now a days large Number of services are emerging on the Internet due to various social networking sites, services, cloud computing. Result of this is, service-relevant data become too big to be effectively processed by traditional approaches. Similarly growing technologies like Internet of Things is also responsible for generation of massive raw data and this is reason complexity and resource consumption increases. In this paper the system suggest the concept of pattern based filtering in which it automatically discovers new, hidden or unsuspected data from the large text collection. The propose model MPBTM consist of topic distribution describing topic preference of each collection of document and Pattern-based topic representation.

Bhagyshri Adhau, Dr. V. T. Gaikwad

LDA, User interest model, Pattern mining, Relevance ranking

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Publication Details

Published in : Volume 3 | Issue 2 | March-April - 2017
Date of Publication Print ISSN Online ISSN
2017-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
572-577 IJSRSET1732160   Technoscience Academy

Cite This Article

Bhagyshri Adhau, Dr. V. T. Gaikwad, "Pattern Based Filtering Approach for Big Data Application", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.572-577, March-April-2017.
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