Data Mining

Major: Software Engineering
Code of subject: 7.121.01.E.024
Credits: 5.00
Department: Software
Lecturer: Yuriy Hrytsiuk
Semester: 2 семестр
Mode of study: денна
Learning outcomes: РНС2.1. Be able to develop methods for analysis and processing large data sets using known Data Mining tools.
Required prior and related subjects: Prerequisites: Image Processing Using Artificial Intelligence Methods Corequisites: Master’s Thesis Preparation and Defence
Summary of the subject: Data Mining: application specifics. Data Mining technology and its Ukrainian market. Practical usage of Data Mining methods and tools. Models and methods of Data Mining. Knowledge detection in datasets. Knowledge Management. Object regression and classification. Methods of constructing rules, decision trees and mathematical functions. Prediction of time series. Associative rules. Basic clustering algorithms. Adaptive data clustering methods. Visual Mining: usage problems and visualization tools. Methods of data visualization. Visualization as a way of data comprehension. Text Mining. Extracting key concepts from a text. Text document classification. Methods of clustering text documents. Web Mining. Methods of extracting Web-content. Process Mining. PROM library. Distributed data analysis. Systems of mobile agents. Real-Time Data Mining. Recommendation machines. Data Mining standards: CWM, CRISP, PMML and others. Xelopes library. Performance of genetic algorithms for processing big data.
Assessment methods and criteria: Current control: 45% (laboratory works – 30% (6 labs 5% each), interims tests on classes 15% (2 tests – 5% + 10%)) Exam: 55% (written part 50%, spoken part 5%) Each laboratory work takes two weeks. If its defence is delayed, a student loses one point per each week of delay.
Recommended books: 1. ЕНМК з дисципліни "Інтелектуальний аналіз даних" сертифікат № 04498. Доступний з : https://vns.lpnu.ua/course/view.php?id=4785 2. Грицюк Ю.І. Інтелектуальний аналіз даних і процесів : навч. посібник / Ю. І. Грицюк. – Львів : Вид-во НУ "Львівська політехніка", 2018. – 440 с. (рукопис) 3. Грицюк Ю.І. Інтелектуальний аналіз даних : лаборат. практикум / Ю. І. Грицюк. – Львів : Вид-во НУ "Львівська політехніка", 2016. – 160 с. (рукопис) 4. Грицюк Ю.І. Обчислювальні методи та моделі в наукових дослідженнях : монографія / Ю.І. Грицюк. – Львів : Вид-во ЛДУ БЖД, 2014. – 288 с.