This paper is focusing on the data mining solutions for the WWW, specifically how it can be used for the hyperlinks evaluation. We are focusing on the hyperlinks used in the websites systems and on the problem which consider evaluation of its utility. Since hyperlinks reflect relation to other webpage one can expect that there exist way to verify if users follow desired navigation paths. The Challenge is to use available techniques to discover usage behavior patterns and interpret them.We have evaluated hyperlinks of the selected pages from www.bth.se web site. By using web expert’s help the usefulness of the data mining as the assessment basis was validated. The outcome of the research shows that data mining gives decision support for the changes in the web site navigational structure.
Contents
1. INTRODUCTION
1.1. Background
1.2. Problem description
1.3. Data mining
1.4. Data mining for web sites
1.5. Hypothesis
1.6. Methodology
1.7. Outline of the report
2. BACKGROUND
2.1. All around the Website
2.2. Measuring hyperlinks
2.3. Data Used For Website Evaluation
2.3.1. The Web site as an input
2.3.2. The web site’s traffic log
2.4. Preparation of data
3. DATA MINING FOR THE WEB SITES
3.1. Data mining
3.2. Association rules
3.3. Usage of data mining techniques
3.3.1. Analysis of web usage behaviour
3.3.2. Navigational structure mining
3.3.3. Negative association mining for the web site
3.4. Traps of data mining
4. EXPERIMENTAL SETUP
4.1. Data collection
4.2. Data pre-processing
4.3. Data mining
4.4. Validating suggestions with the web expert
5. RESULTS
5.1. Data mining – hyperlink evaluation
5.2. Outcome of the web expert evaluation
6. DISCUSSION
6.1. Method validation
6.2. Criticism
6.3. Gained knowledge
7. CONCLUSIONS AND FUTURE WORK
7.1. Conclusions
7.2. Future research
REFERENCES
Appendixes
Author: Katarzyna Ewa, Sobolewska
Source: Blekinge Institute of Technology
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