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 TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET
Authors Name:
Mr. Vishal A. Pawar
, Dr. Bhupesh Gour , Mr. Kamlesh Chandravanshi
Unique Id:
IJSDR1608041
Published In:
Volume 1 Issue 8, August-2016
Abstract:
Tremendous amount of data being collected is increasing speedily by computerized applications round the globe. Concealed in the vast data, the valuable information is attracting researchers of multiple disciplines to study effective approaches to derive useful knowledge from within. Amid different data mining equitable, the mining of frequent patterns has been the focus of knowledge discovery in databases. This paper tends to find the efficient algorithm for mining sequential patterns. Mining sequential patterns with time constraints, like time gaps and sliding time-window, may reinforce the accuracy of mining findings. However, the competence to extract the time-constrained patterns was previously available only within Apriori framework. Modern studies show that pattern-growth methodology could speed up sequence mining. Current algorithms use a generate-candidate-and-test approach that may generate a large amount of candidates for phlegmatic datasets. Many candidates don’t resemble in the database. Therefore we are introducing a more efficient algorithm for sequential pattern mining. The space & time consumption of proposed algorithm will be lesser in comparison to previous algorithm.
Keywords:
A TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET
Cite Article:
"A TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.327 - 330, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608041.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1608041
Registration ID:160697
Published In: Volume 1 Issue 8, August-2016
DOI (Digital Object Identifier):
Page No: 327 - 330
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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