TY  - JOUR
AV  - none
N1  - 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
TI  - A log file analysis technique using binary-based approach
SP  - 3
PB  - Springer Verlag
SN  - 18761100
EP  - 11
CY  - Kuala Lumpur
N2  - 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.
ID  - scholars4512
KW  - Algorithms; Data structures; Database systems
KW  -  Apriori algorithms; Computing system; Database transactions; Frequency Analysis; Frequency mining; Log file; Log-file analysis; Performance comparison
KW  -  Engineering research
Y1  - 2014///
JF  - Lecture Notes in Electrical Engineering
A1  - Fageeri, S.O.
A1  - Ahmad, R.
A1  - Baharudin, B.
UR  - 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
VL  - 285 LN
ER  -