Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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