Web Mining

Major: Artificial Intelligence
Code of subject: 7.122.04.E.029
Credits: 5.00
Department: Artificial Intelligence Systems
Lecturer: Hasko R.T.
Semester: 2 семестр
Mode of study: денна
Learning outcomes: knowledge (ZN): ability to demonstrate knowledge of the basics of professionally-oriented disciplines of the specialty: methods and tools of modern information technology, principles and methods of construction and application of computer networks, principles of web-technologies and methods and means of their use to solve specialty problems; skills (UM): identify, classify and describe the operation of systems and their components; to combine theory and practice, as well as to make decisions and develop a strategy for solving the problems of the specialty (specialization), taking into account universal values, social, state and industrial interests;
Required prior and related subjects: Cloud computing technologies (Cloud) Data visualization Internet virtual object technology (IoT) Computer technology information technology
Summary of the subject: Web mining is the use of data exchange techniques to detect patterns from the World Wide Web, allows the use of automated devices to open and extract data from servers and web reports, and allows organizations to receive both organized and unstructured information from the browser, server logs , websites and link structures, page content and various sources. The purpose of web structure mining is to generate a structured summary of the website and the web page. Technically, the development of web content is mainly focused on the structure of the internal document, while the web structure of mining tries to identify the structure of hyperlinks at the level of interdocuments.
Assessment methods and criteria: 1. Execution of laboratory works and their presentations. 2. Writing RGR. 3. Exam.
Recommended books: 1. Lecture notes. 2. Work program. 3. Hasko R.T. Data mining in Web: Methodical work electronic educational and methodical complex for students of "Computer Science" [Electronic resource] http://vns.lp.edu.ua