LT-1 - Data Mining CSC 445 Professor Dr. Abdul Aziz Ph.D....

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Data Mining CSC 445 Professor Dr. Abdul Aziz Ph.D. Computer Science University of East Anglia, UK 2
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Why study Data Mining New technologies business intelligence, Pattern recognition, decision making etc. Research potential (data mining, business intelligence, multidimensional data analysis, Industry demand etc). High market value of data analyst experts Fulfill degree requirements Easy course, help full to improve CGPA 3 Before Taking This Course… You should be comfortable with… Basics of databases Basics of statistics 4
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Assignments 15% Quizzes 10% Midterm exam 30% Presentation 05% Final exam (comprehensive) 40% Marks distribution 5 Policies Sharing No copying is allowed for assignments Discussions are encouraged; however, you must submit your own work Violators will get F-grade and/or reported to Disciplinary Committee for action Plagiarism Do NOT pass someone else’s work as yours! Write in your own words and cite the reference. This applies to code as well. 6
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Policies Quizzes Quizzes will be announced Submission policy Submissions are due at the day and time specified Late penalties: 1 day = 1 mark; 2 day late = 2 marks; not accepted after 2 days An extension can be granted only if there is a need and when requested several days in advance. 7 Course Material Primary text Data Mining, Supplementary text 1. Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) 2. Data Warehousing, Data Mining and OLAP , Alex Berson & Stephen Smith, McGraw-Hill (1997), ISBN 0-07-006272-2 3. Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand, Heikki Mannila, and Padhraic Smyth Other resources Lecture slides Web resources Books in library 8
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Other Stuff How to contact me? Office hours: 3:00 to 3:30 pm E-mail: aziz_gill@hotmail.com Telephone: 111 1919 38/extension 359 By appointment Philosophy Knowledge cannot be taught; it is learned. Be excited. That is the best way to learn. I cannot teach everything in class. Develop an inquisitive mind, ask questions, and go beyond what is required. I don’t believe in strict grading. But… there has to be a way of rewarding performance. 9 CHAPTER NO.1 Introduction to Data Mining 10
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h “DM is the search for valuable information in large volumes of data” - Weiss & Indurkhya (1998) h “DM helps end users extract useful business information from large databases” - Berson & Smith (1998) 11 h Data mining is the search for relationships and global patterns that exist in large databases, but are hidden among the vast amounts of data. h
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LT-1 - Data Mining CSC 445 Professor Dr. Abdul Aziz Ph.D....

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