INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A FAST & EFFICIENT METHODOLOGY FOR GENERATING ALL SEQUENTIAL PATTERN FROM A SEQUENTIAL DATA SET
Authors Name:
Deepti Chandnani
, Prof. Ravi Gedam
Unique Id:
IJSDR1704042
Published In:
Volume 2 Issue 4, April-2017
Abstract:
The discovery of sequential patterns is one of the most vibrant and useful segment of modern data mining. It has a vast array of real world applications. It is worthy of study on extending the memory indexing approach for efficient mining of generalized sequential patterns. This paper proposes a a new method for sequential pattern mining. In this paper the original data set is converted in to the transformed data set, by pruning the useless data in the early stage of data mining. The results have shown that this approach is resulting in saving a lot of computational time.
Keywords:
DATA MINING,KNOWLEDGE DISCOVERY IN DATABASE,SEQUENTIAL SUPPORT,SEQUENTIAL PATTERN MINING
Cite Article:
"A FAST & EFFICIENT METHODOLOGY FOR GENERATING ALL SEQUENTIAL PATTERN FROM A SEQUENTIAL DATA SET", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.245 - 249, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704042.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1704042
Registration ID:170193
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 245 - 249
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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