A TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET
Mr. Vishal A. Pawar
, Dr. Bhupesh Gour , Mr. Kamlesh Chandravanshi
A TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET
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.
"A TIME & MEMORY EFFICIENT METHOD FOR EXTRACTING SEQUENTIAL PATTERNS AFTER DATA REDUCTION FROM ORIGINAL DATA SET", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 8, page no.327 - 330, August-2016, Available :https://ijsdr.org/papers/IJSDR1608041.pdf
Volume 1
Issue 8,
August-2016
Pages : 327 - 330
Paper Reg. ID: IJSDR_160697
Published Paper Id: IJSDR1608041
Downloads: 000347218
Research Area: Engineering
Country: Shirpur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
