Pattern Based Filtering Approach for Big Data Application

Authors(2) :-Bhagyshri Adhau, Dr. V. T. Gaikwad

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.

Authors and Affiliations

Bhagyshri Adhau
Department of Computer Science and Engineering, Sipna College of Engineering and Technology, Amravati, Maharashtra, India
Dr. V. T. Gaikwad
Department of Computer Science and Engineering, Sipna College of Engineering and Technology, Amravati, Maharashtra, India

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 : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 572-577
Manuscript Number : IJSRSET1732160
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET1732160

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