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Study program: Information technology
Type and level of studies: Master studies
Course unit: Web Mining
Teacher in charge: Marija Blagojević
Language of instruction: English
ECTS: 6
Prerequisites: None
Semester: Winter
Course unit objective
Objective of this subject is related to specific analysis of Web documents and unstructured data. Also, students
should be familiar with the concrete possibilities of Web mining technology application.
Learning outcomes of Course unit
Students should acquire the theoretical and practical knowledge in the field of content analysis of documents,
classification and clustering Web documents. They should also learn basic techniques and tools for analyzing the
Web structure and Web access.
Course unit contents
Theoretical classes
Introduction to Web mining. Specificities of Web documents. Techniques for analyzing content of Web
documents. Identification of topics of document and ranking terms in it. Classification and clustering of
documents. Analysis of the Web structure, ranking documents by relevance. Techniques for improving Web site
rating. Analysis of access to the Web. Discovering patterns of behavior of the Web sites. Web visualization.
Statistics of social networks.
Practical classes
Introduction to the basic Web mining tools and their application. Tools for documents’ classification, the
structure of log files and tools for log analysis.
Literature
1.
Bing Liu: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Springer, Heidelberg; New York, 2011
2.
Soumen Chakrabarti, Mining the Web: Discovering Knowledge from Hypertext Data, Morgan Kaufmann, 2002
Number of active teaching hours
Other classes
Lectures: 2
Practice: 2
Other forms of classes
Independent work:
Teaching methods
Examination methods (maximum 100 points)
Exam prerequisites
Student’s activity during lectures
No. of points:
Practical classes/tests
Seminars/homework
Project
Other
30
40
Grade
10
9
8
7
6
5
Final exam
oral examination
No. of points:
30
written examination
..........
Grading system
No. of points
91-100
81-90
71-80
61-70
51-60
0-50
Description
Excellent
Exceptionally good
Very good
Good
Passing
Failing