eprintid: 4512
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/45/12
datestamp: 2023-11-09 16:16:12
lastmod: 2023-11-09 16:16:12
status_changed: 2023-11-09 15:58:36
type: article
metadata_visibility: show
creators_name: Fageeri, S.O.
creators_name: Ahmad, R.
creators_name: Baharudin, B.
title: A log file analysis technique using binary-based approach
ispublished: pub
keywords: Algorithms; Data structures; Database systems, Apriori algorithms; Computing system; Database transactions; Frequency Analysis; Frequency mining; Log file; Log-file analysis; Performance comparison, Engineering research
note: cited By 3; Conference of 1st International Conference on Advanced Data and Information Engineering, DaEng 2013 ; Conference Date: 16 December 2013 Through 18 December 2013; Conference Code:102583
abstract: Log files are an important by product of any computing systems including database systems. They contain a huge amount of historical data. Although many algorithms have been designed to utilize the information stored in such files, many of them can still be further improved in terms of execution time and memory usage. In this research paper, a binary-based approach for mining frequency of data items in database transaction log files is introduced. Both the data structures and the algorithms used will be presented according to the sequence of the methodology stages carried out in this research work. The stages are pre, during and post scanning of the log file. Initial experimentation of the approach reveals a significant improvement in terms of the execution time taken to perform frequency analysis of a database transaction log file. To validate the approach, performance comparison was also done against the popular Apriori algorithm. Initial result has shown enhancement in terms of execution time using the binary-based approach. © Springer Science+Business Media Singapore 2014.
date: 2014
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958547066&doi=10.1007%2f978-981-4585-18-7_1&partnerID=40&md5=290797b5f42a0af164459ca5f2b35485
id_number: 10.1007/978-981-4585-18-7₁
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 285 LN
place_of_pub: Kuala Lumpur
pagerange: 3-11
refereed: TRUE
isbn: 9789814585170
issn: 18761100
citation:   Fageeri, S.O. and Ahmad, R. and Baharudin, B.  (2014) A log file analysis technique using binary-based approach.  Lecture Notes in Electrical Engineering, 285 LN.  pp. 3-11.  ISSN 18761100