IC612: Data Warehousing and Data Mining

Hours & Place

• Theory: 3:00-4:30pm, Tuesdays/Wednesdays

• Room #424, E-3 Building

Textbook

• Charu C. Aggarwal, Data Mining: The Textbook, 2015

Supplementary Books

• Jiawei Han, Micheline Kamber, Jian Pei, Data Mining: Concepts and Techniques (3rd Edition), Morgan Kaufmann, 2011

• Pang-Ning Tan, Introduction to Data Mining (2nd Edition), Addison-Wesley, 2005

• Ian H. Witten, Eibe Frank, Mark A. Hall, Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition), Morgan Kaufmann, 2011

• Kevin P. Murphy, Machine Learning: A Probabilistic Perspective, The MIT Press, 2012

• Lutz Mamel, Knowledge Discovery with Support Vector Machines, WILEY, 2009

• Sandhya Samarasinghe, Neural Networks for Applied Sciences and Engineering, Auerbach Publications, 2007

Evaluation

• Mid-term exam: 50%

• Final exam: 50%