Organise ripping a web space and their pre-processing for the purpose of data mining
• Apply algorithms for classification, clustering, associative rules for problems business intelligence Web Mining

Methods and Tools for Data and Knowledge Engineering
• The Theory of Database and Knowledge Base Systems

Web Mining - basic concepts and principles, problem analysis information from Web. Stages of Web Mining. Categories Web Mining: (Web Usage Mining, Web Structure Mining, extracting web content (Web Content Mining). Methods of extracting Web-Content: Web-content extraction process of information retrieval, Web-content extraction to create databases. Getting a Web-structures: (submission Web-Structure, Web-evaluation of the importance of structures, searching Web-based document hyperlinks, Web-clustering structures). . Research using of Web-resources: preprocessing stage, the stage of extraction templates, templates phase analysis and their application) .Task and methods of business intelligence Web Mining.

• Захарія Л.М. “Інформаційний пошук. Алгоритми класифікації текстових документів” методичні вказівки до дисципліни “Машинне навчання” Львів: Видавництво Національного університету “Львівська політехніка”, 2012. — 36 с.
• Манінг, Рабхаван, Шютце: Введение в информационный поиск. , Яндекс, 2011.
• Ландэ. Поиск знаний в интернете, Киев, 2005
• Markov Z, Larose D.T. Data-mining the Web : uncovering patterns in Web content, structure, and usage, - John Wiley & Sons Inc., 2007
• Анализ данных и процессов: учеб. пособие / А. А. Барсегян, М. С. Куприянов, И. И. Холод, М. Д. Тесс, С.И. Елизаров. – 3-е издание перераб. и доп. – СПб.: БХВ-Петербург, 2009
• Давыдов А. А. Системная социология: Social Networks Mining. М.: ИС РАН, 2009.

• Current control (40%): written reports on laboratory work, essay, oral examination;
• Final control (60% of exam): in written, verbally.