Welcome, Guest . Login . Türkçe
Where Am I: Ninova / Courses / Institute of Science and Technology / BLG 607 / Course Informations

Course Information

Course Name
Turkish Veri Madenciliği
English Data Mining
Course Code
BLG 607 Credit Lecture
Semester -
3 3 - -
Course Language Turkish
Course Coordinator Şule Öğüdücü
Course Objectives To introduce students to basic applications, concepts, and techniques of data mining. To gain experience doing independent study and research.
Course Description Introduction to Data Mining. Survey of data mining applications, techniques and models. Data mining steps: Define goal, data cleaning, data selection and preprocessing, data reduction and data transformation, select data mining algorithm, model assessment, interpretation. Exploration of data mining algorithms: decision trees, regression, association rules, memory based methods, k-nearest neighbor method, clustering, artificial neural networks.
Course Outcomes
Required Facilities
Textbook Jiawei Han and Micheline Kamber (2006). Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers. ISBN 1-55860-489-8.
Other References Margaret Dunham (2002). Data Mining: Introductory and Advanced Topics. Prentice Hall. ISBN 0130888923.
David J. Hand, Heikki Mannila, and Padhraic Smyth (2001). Principles of Data Mining. MIT Press. ISBN 026208290X.
Pang-Ning Tan, Michael Steinbach, Vipin Kumar (2005). Introduction to Data Mining. Addison Wesley, ISBN: 0-321-32136-7
Courses . Help . About
Ninova is an ITU Office of Information Technologies Product. © 2024