Infopaket

Data Mining Actual Problem

ОК.13

Обов’язкова дисципліна для ОП

Second

2023/2024

2 Semester

4

PLO6: Develop a conceptual model of an information or computer system. PLO10: Design architectural solutions for information and computer systems of various purposes. PLO11: Create new algorithms for solving problems in the field of computer science, evaluate their effectiveness and limitations on their application. PLO12: Design and support databases and knowledge bases.

Distance form

To know basic concepts of artificial intelligence and optimization methods; have a modern understanding of the main problems that are solved with the methods of artificial intelligence and data analysis. To be able to describe the task of data analysis, determine the attributes and type of problem, build a model.

Discipline aim. The purpose of the discipline is to broaden knowledge of data mining and artificial intelligence, studying the basic approaches to solving basic data analysis problems. These are the tasks of classification, clustering, search for associative rules. The learning course is devoted to the main problems of data mining: classification, clustering, search for associative rules. The main classes of algorithms for solving the corresponding problems are considered. A comparative analysis of approaches and possible modifications are given. In particular, algorithms for constructing decision trees, adaptive clustering are studied. The main considerations associated with the use of artificial neural networks for data analysis problems are investigated.

1. Kantardzic, M. Data mining: concepts, models, methods, and algorithms. - New York : John Wiley & Sons, 2003. - 343 p. 2. Han, J. Data Mining: concepts and Techniques / J. Han, M. Kamber. - San Francisco: Morgan Kaufmann Publishers, 2010. - 26 p. 3. Data Mining Curriculum. - Режим доступу: https://kdd.org/exploration_files/CURMay06.pdf

Lectures, laboratory classes, individual work.

Semester assessment: 1. Laboratory works: LO 1.1, LO 1.2, LO 2.1, LO 4.1 – 25 points / 15 points. 2. Course paper: LO 2.1, LO 3.1, LO 4.1 – 25 points / 15 points. 3. Current evaluation: LO 2.1, LO 3.1, LO 4.1 – 10 points / 6 points Final assessment: - maximum number of points that can be obtained by the student: 40 points; - learning outcomes that are evaluated: LO 1.1, LO1.2, LO 2.1; - form of holding: written work.

Ukrainian, English