WEB USERS ANALYSIS USING CLUSTERING ALGORITHMS

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Shokrollahi Zohreh; KARIMI ASGHAR

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2018 | Issue:4

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Title

WEB USERS ANALYSIS USING CLUSTERING ALGORITHMS

Author(s)

Shokrollahi Zohreh | KARIMI ASGHAR

Keywords

WEB MINING

CLUSTERING

K-MEANS ALGORITHM

TWOSTEP ALGORITHM

KOHONEN ALGORITHM

Abstract

WITH THE RAPID DEVELOPMENT OF THE WORLD WIDE WEB AND INCREASING THE VOLUME OF INFORMATION, WEB RESEARCH HAS BECOME AN IMPORTANT RESEARCH AREA. WEB MINING RESEARCH IS MAINLY CATEGORIZED INTO TWO TYPES OF WEB CONTENT MINING AND WEB USAGE MINING. AN IMPORTANT TOPIC IN WEB USAGE MINING IS THE CLUSTERING OF USERS IN OTHER WORDS, GROUPING THESE USERS INTO CLUSTERS BASED ON THEIR COMMON FEATURES. IN THIS PAPER, USING K-MEANS, KOHONEN, AND TWO-STEP METHODS, WE CLUSTERED THE USERS INTO GROUPS WITH SIMILAR CHARACTERISTICS AND USED THE PRINCIPAL COMPONENT ANALYSIS METHOD TO ENHANCE CLUSTERING QUALITY AND USE THE SILHOUETTE CRITERION TO ASSESS CLUSTERING QUALITY. AMONG THESE THREE METHODS, K-MEANS WITH TWO CLUSTERS HAD THE HIGHEST QUALITY AND THE DATA SET WAS CLUSTERED AND ANALYZED USING THIS METHOD. BY ANALYZING THE CLUSTERS, CAN GET A BETTER UNDERSTANDING OF THE USERS AND PROVIDE CUSTOM AND MORE CONVENIENT SERVICES FOR THEM.

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APA: Copy

Shokrollahi, Zohreh, & KARIMI, ASGHAR. (2018). WEB USERS ANALYSIS USING CLUSTERING ALGORITHMS. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/948851/en

Vancouver: Copy

Shokrollahi Zohreh, KARIMI ASGHAR. WEB USERS ANALYSIS USING CLUSTERING ALGORITHMS. 2018. Available from: https://sid.ir/paper/948851/en

IEEE: Copy

Zohreh Shokrollahi, and ASGHAR KARIMI, “WEB USERS ANALYSIS USING CLUSTERING ALGORITHMS,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2018, [Online]. Available: https://sid.ir/paper/948851/en

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