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Optimized Agglomeration Algorithmic rule to Uncover User Pattern Applying on Weblog Knowledge

by Suman Lata Joshi, H S Bhadauria, Annapurna Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 10
Year of Publication: 2014
Authors: Suman Lata Joshi, H S Bhadauria, Annapurna Singh
10.5120/16382-5899

Suman Lata Joshi, H S Bhadauria, Annapurna Singh . Optimized Agglomeration Algorithmic rule to Uncover User Pattern Applying on Weblog Knowledge. International Journal of Computer Applications. 94, 10 ( May 2014), 41-43. DOI=10.5120/16382-5899

@article{ 10.5120/16382-5899,
author = { Suman Lata Joshi, H S Bhadauria, Annapurna Singh },
title = { Optimized Agglomeration Algorithmic rule to Uncover User Pattern Applying on Weblog Knowledge },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 10 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 41-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number10/16382-5899/ },
doi = { 10.5120/16382-5899 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:17:18.726554+05:30
%A Suman Lata Joshi
%A H S Bhadauria
%A Annapurna Singh
%T Optimized Agglomeration Algorithmic rule to Uncover User Pattern Applying on Weblog Knowledge
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 10
%P 41-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

These days, event logs contain immense amounts of knowledge that may simply overwhelm a personality's. Consequently, mining content from the phenomenon of logs is accepted as a crucial function for the system management. This paper presents a completely unique clump rule for log file information sets that helps one to sight frequent patterns from log files, to create log file profiles, and to spot abnormal log file lines. To attain this, clump tool is employed for playacting 2 phases. First, a military operation is finished on internet group action information. Second, AN analysis is finished on internet access log files to research the user group action behavior and user's log-in approach. During this paper, the cluster medical specialty and verification tool is employed to find hidden relationships among the net server information and access patterns.

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Index Terms

Computer Science
Information Sciences

Keywords

Cluster Data Processing Information Clump Log file System Observance Tool Web.

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