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| Class
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Data Mining |
| Professor
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Juntae Kim
Phone: 2260-3712
Office: Info. Culture Building Q305
E-mail: jkim@dongguk.edu
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| Asst.
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Seong Chul Park
Phone : 2285-3712
E-mail : scpark6861@naver.com
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| Abstract
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In this class students learn the basic concepts and theories of Data Mining, and read related research papers. The main topics are data warehousing, association rule mining, classification, clustering, data mining tools, mining data stream, social network analysis, Web mining, etc. The class consists of lectures on the basic concepts and theories, paper presentation, and discussion. Problem solving and data analysis using a mining tool will be given as homeworks.
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| Textbook and references
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Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2006.
Ian Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2005.
Pang.-Ning.Tan, Michael Steinbach, and Vipin. Kumar, Introduction to Data Mining, Addison-Wesley, 2006.
S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 2002.
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| Evaluation
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Midterm 25%, Final 25%, Homework 25%, Paper presentation 25% |
Schedule
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1st : Introduction
2nd : Data Preprocessing
3rd : Data Warehouse and OLAP
4th : Data Cube Computation and Data Generalization
5th : Mining Frequent Patterns
6th : Classification and Prediction
7th : Midterm
8th : Cluster Analysis
9th : Data Mining Tools
10th : Mining Stream, Time-Series and Sequence Data
11th : Graph Mining, Social Network Analysis
12th : Mining Object, Spatial, Multimedia, Text and Web Data
13th : Applications and Trends in Data Mining
14th : Final
15th : Paper Presentation
16th : Paper Presentation
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| Lecture data |
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Chapter 1 |
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Chapter 2 |
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Chapter 3 |
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Chapter 4 |
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Chapter 5 |
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Chapter 6 (updated) |
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Chapter 7 |
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AI Chapter 11 |
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Chapter 8 |
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Chapter 9 |
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- preparing - |
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| Miscellanea |
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weka introduction |
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arff data |
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project |
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The Information of presentation |
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| Homework |
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homework 1 |
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homework 2 |
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homework 3 |
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- preparing - |
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