DISCOVERING USERS' ACCESS PATTERNS FOR WEB USAGE MINING FROM WEB LOG FILES

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JAFARI MARYAM; JAMALI SHAHRAM; SOLEYMANI SABZCHI FARZAD

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2013 | Volume:4 | Issue:3 (13) Page(s): 25-32

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Title

DISCOVERING USERS' ACCESS PATTERNS FOR WEB USAGE MINING FROM WEB LOG FILES

Author(s)

JAFARI MARYAM | JAMALI SHAHRAM | SOLEYMANI SABZCHI FARZAD | Issue Writer Certificate

Keywords

WEB USAGE MINING

PATTERN DISCOVERY

NAVIGATIONAL PATTERN

FUZZY FP-GROWTH ALGORITHM

Abstract

WEB USAGE MINING (WUM) is the automatic discovering of hidden information of user access pattern from the web log data. Frequent PATTERN DISCOVERY is one of the main techniques in WUM that can be used to implement recommender systems, forecast user’s navigational behavior, and personalize web sites. Many algorithms have been suggested on obtaining frequent user navigation patterns. This paper presents PD-FARM (Pattern Discovery based on Fuzzy Association Rule Mining) algorithm to extract the web usage patterns, based on Fuzzy Association Rule Mining (FARM). Fuzzy Frequent Pattern-Growth (FFP-Growth) algorithm is used to FARM. Finally, an illustrated example is given for a complete description of the proposed algorithm.

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APA: Copy

JAFARI, MARYAM, JAMALI, SHAHRAM, & SOLEYMANI SABZCHI, FARZAD. (2013). DISCOVERING USERS' ACCESS PATTERNS FOR WEB USAGE MINING FROM WEB LOG FILES. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(3 (13)), 25-32. SID. https://sid.ir/paper/328734/en

Vancouver: Copy

JAFARI MARYAM, JAMALI SHAHRAM, SOLEYMANI SABZCHI FARZAD. DISCOVERING USERS' ACCESS PATTERNS FOR WEB USAGE MINING FROM WEB LOG FILES. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(3 (13)):25-32. Available from: https://sid.ir/paper/328734/en

IEEE: Copy

MARYAM JAFARI, SHAHRAM JAMALI, and FARZAD SOLEYMANI SABZCHI, “DISCOVERING USERS' ACCESS PATTERNS FOR WEB USAGE MINING FROM WEB LOG FILES,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 3 (13), pp. 25–32, 2013, [Online]. Available: https://sid.ir/paper/328734/en

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