A Review of Frequent Sequential Pattern Mining Over Large Data Set
Rajesh Gupta
, Prof. Rakesh Pandit
As with the new innovation of the IT technologies, the amount of accumulated data is also increasing. It has resulted in large amount of data stored in databases, warehouses and other repositories. Thus the Data mining comes into representation to explore and analyze the databases to extract the interesting and previously unknown patterns and rules known as association rule mining. In data mining, Sequential Pattern mining becomes one of the important tasks of descriptive technique which can be defined as discovering meaningful patterns from large collection of database. This paper presents a review of sequential pattern mining techniques.
"A Review of Frequent Sequential Pattern Mining Over Large Data Set", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.310 - 313, June-2017, Available :https://ijsdr.org/papers/IJSDR1706044.pdf
Volume 2
Issue 6,
June-2017
Pages : 310 - 313
Paper Reg. ID: IJSDR_170485
Published Paper Id: IJSDR1706044
Downloads: 000347168
Research Area: Engineering
Country: -, -, 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
