Web Usage Characterization for System Performance Improvement

Alehegn Kindie; Adane Mamuye; Biniyam Tilahun

Information and Communication Technology for Development for Africa. First International Conference, ICT4DA 2017, Bahir Dar, Ethiopia, September 25–27, 2017, Proceedings

Research Article

Web Usage Characterization for System Performance Improvement

Download

271 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-95153-9_23,
    author={Alehegn Kindie and Adane Mamuye and Biniyam Tilahun},
    title={Web Usage Characterization for System Performance Improvement},
    proceedings={Information and Communication Technology for Development for Africa. First International Conference, ICT4DA 2017, Bahir Dar, Ethiopia, September 25--27, 2017, Proceedings},
    proceedings_a={ICT4DA},
    year={2018},
    month={7},
    keywords={Web usage characterization Web usage mining Pattern discovery},
    doi={10.1007/978-3-319-95153-9_23}
}

Alehegn Kindie
Adane Mamuye
Biniyam Tilahun
Year: 2018
Web Usage Characterization for System Performance Improvement
ICT4DA
Springer
DOI: 10.1007/978-3-319-95153-9_23

Alehegn Kindie¹^,*, Adane Mamuye¹, Biniyam Tilahun¹

1: University of Gondar

*Contact email: alehegn12@gmail.com

Abstract

Web usage mining discovers patterns of user behaviors from web log files. In this study web usage mining is employed to identify business-critical and non-business critical web traffics in University of Gondar. Apriori and FP tree algorithms are applied to extract the web browsing behavior in terms of frequently accessed sites along with their web traffics. Our research findings can be used as an input for bandwidth management and system performance improvement.

Keywords: Web usage characterization Web usage mining Pattern discovery

Published: 2018-07-10
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-95153-9_23

Web Usage Characterization for System Performance Improvement

Abstract

About EAI

Community

Publish with EAI