UGC Approved Journal no 63975(19)

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

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2103350


Registration ID:
307265

Page Number

2759-2770

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Title

WEB USAGE MINING USING FP GROWTH ALGORITHM: E-LEARNING PORTAL

Abstract

Web usage mining is the part of web mining. The information is collected as result in horrendously huge data in web. The information is gathered by the quantity of guests in the internet searcher. Utilization information catches the personality or root of Web clients alongside their perusing conduct at a Website. Web use mining itself can be arranged further contingent upon the sort of utilization information considered. They are web worker information, application worker information and application level information. Web worker information compare to the client logs that are gathered at Web worker. A portion of the run of the mill information gathered at a Web worker incorporate IP addresses, page references, and access season of the clients and is the principle contribution to the current explores. E- Learning is one of the Web based application where it will look with huge measure of information. To create the E-Learning entrance utilization examples and client practices, this paper executes the elevated level cycle of Web Usage mining utilizing essential Association Rules calculation known as FP development Algorithm.

Key Words

Web Usage Mining, Web server logs, Data Preprocessing, Pattern discovery, FP growth.

Cite This Article

"WEB USAGE MINING USING FP GROWTH ALGORITHM: E-LEARNING PORTAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2759-2770, March-2021, Available :http://www.jetir.org/papers/JETIR2103350.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

"WEB USAGE MINING USING FP GROWTH ALGORITHM: E-LEARNING PORTAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2759-2770, March-2021, Available at : http://www.jetir.org/papers/JETIR2103350.pdf

Publication Details

Published Paper ID: JETIR2103350
Registration ID: 307265
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 2759-2770
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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