UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1808952


Registration ID:
187618

Page Number

371-373

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Title

A STUDY ON SEQUENTIAL TOPIC PATTERNS MINING ALGORITHMS AND APPROACHES IN WEB LOGS

Abstract

SEQUENTIAL TOPIC PATTERNS (STP) is an important topic of data mining task in wide range of applications from content analysis of the web and document stream. It is usually consists of discovering interesting sub sequences in a set of sequences. The resultant Sequences can be measured in terms of various criteria such as its occurrence frequency, length, and profit. STP has various real-life applications because the fact of that data is naturally programmed as sequences of codes in many fields like bioinformatics, e-shopping, document streams, and social media. In this paper we study both the accuracy and the efficiency of STP mining algorithms and approaches

Key Words

Sequential Topic Patterns (STP ), User- Aware Rare Sequential Topic Patterns (URSTP), Web Mining

Cite This Article

"A STUDY ON SEQUENTIAL TOPIC PATTERNS MINING ALGORITHMS AND APPROACHES IN WEB LOGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.371-373, August-2018, Available :http://www.jetir.org/papers/JETIR1808952.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A STUDY ON SEQUENTIAL TOPIC PATTERNS MINING ALGORITHMS AND APPROACHES IN WEB LOGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp371-373, August-2018, Available at : http://www.jetir.org/papers/JETIR1808952.pdf

Publication Details

Published Paper ID: JETIR1808952
Registration ID: 187618
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 371-373
Country: CHROMPET, KANCHEEPURAM, TAMILNADU, INDIA .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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