Data Mining and Data Warehousing

Teaching Staff: Exarchos Themistoklis, Kermanidis Katia - Lida
Course Code: HY-380
Course Type: Elective Course
Course Level: Undergraduate
Course Language: Greek
Semester: 8th
ECTS: 4
Teaching Units: 4
Lecture Hours: 2
Lab/Tutorial Hours: 4L
Total Hours: 6
E Class Page: http://e-class.ionio.gr/courses/DCS172/

Short Description:

Data Warehouses. Introduction to Knowledge extraction. Methodologies and Algorithms. Data Mining. Predictive and Descriptive approaches to Data Mining. Association Rules. Classification. Decision trees. k-Nearest Neighbors. Stochastic classification. Naive Bayes. Bayes Networks. Clustering. k-Means. Meta-learning. Data Warehouses and OLAP Technology. Data pre-processing. Filtering. Feature selection. Visualization. Evaluation. Time-series analysis.

Suggested Bibliography:

“DATA MINING”, Margaret H. Dunham, Εκδόσεις ΝΕΩΝ ΤΕΧΝΟΛΟΓΙΩΝ, ISBN 960-8105-72-2, 2004
“Εισαγωγή στην Εξόρυξη Δεδομένων και τις Αποθήκες Δεδομένων”, Αλ. Νανόπουλος, Γ. Μανωλόπουλος, Εκδόσεις ΝΕΩΝ ΤΕΧΝΟΛΟΓΙΩΝ, ISBN 978-960-6759-17-8, 2008

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