Lecture1 - CSC 5800: Intelligent Systems: Algorithms and...

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1 CSC 5800: Instructor: Chandan Reddy Intelligent Systems: Algorithms and Tools Today’s Lecture…. . • Basic Course Information • Why do you need to take this course? • Grading Policy • Course Schedule • Broad Overview of Data Mining
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2 Basic Course Information Time: MW 4:30-5:50 PM Location: 314 State Hall Course Website: http://www.cs.wayne.edu/~reddy/Courses/CSC5800/ Basic Course Information Instructor: Chandan Reddy Office: 308 State Hall Office hours: Mon/Wed 3:00-4:00 PM Email: reddy@cs.wayne.edu Teaching Assistant: Mohammad Aziz Office: 308 State Hall Office hours: Tu/Th 1:00-2:30PM Email: maziz@wayne.edu
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3 Why do you need this course? • To figure out some intelligent ways of handling the data • To find out the behavior of an unseen/new data points. • To identify some patterns in huge datasets • To identify some abnormal/suspicious activities • To provide guidelines to human experts - To provide guidelines to human experts – What to look for?? Data Mining is a Fundamental Tool for Many Many Applications Prerequisites for the course • Basic knowledge in – linear algebra, – probability and statistics. • Undergraduate coursework on algorithms Any programming course • Any programming course. • Please talk to the instructor about your background
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Text Books • Pang-Ning Tan, Michael Steinbach and Vipin Kumar Introduction to and Vipin Kumar, Introduction to Data Mining , Addison-Wesley, First Edition, 2005. • Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Mining: Practical Machine Learning Tools and Techniques , Morgan Kaufmann, Second Edition, 2005. Reference Books (Placed on reserve at SEL) Richard O. Duda and Peter E. Hart and David G. Stork, Pattern Classification , John Wiley Interscience, 2001. Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques , Second Edition, Morgan Kaufmann, 2006. Dorian Pyle, Data Preparation for Data Mining , Morgan Kaufmann, First Edition, 1999. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning; Data mining, Inference and Prediction. Springer Verlag, New York, 2001. Anil K. Jain and Richard C. Dubes. Algorithms for Clustering Data, Prentice Hall, 1988. Christopher M. Bishop,
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Lecture1 - CSC 5800: Intelligent Systems: Algorithms and...

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