一、課程說明(Course Description)
<br><TABLE><TR><TD>This course covers the essential concepts, principles, techniques, 
<br>and applications associated with data mining.  The state-of-the-art techniques, 
<br>including traditional approaches as well as recent research developments, would be 
<br>introduced in this course.  </TD></TR></TABLE>
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<br> 二、指定用書(Text Books)
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<br><TABLE><TR><TD><B>Introduction to Data Mining</B>, Pearson International Edition,
<br>by P. Tan, M. Steinbach, V.Kumar</TD></TR></TABLE>
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<br>三、參考書籍(References)
<br>Will be listed in course website
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<br> 四、教學方式(Teaching Method)
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<br><TABLE><TR><TD>
<br><UL><LI>50% Lectures
<br><LI>50% Student Presentations</UL>
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<br> 五、教學進度(Syllabus)
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<br><TABLE><TR><TD>Introduction and overview  
<br><UL>
<br><LI>Introduction to data mining 
<br><LI>Mining association rules 
<br><LI>Data classification 
<br><LI>Data warehouse and OLAP 
<br><LI>Data clustering 
<br><LI>Mining sequential patterns 
<br><LI>Web mining 
<br><LI>Stream data mining 
<br><LI>Map Reduce
<br></UL>
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<br> 六、成績考核(Evaluation)
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<br><TABLE><TR><TD>
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<br>There will be one midterm exam in this course. Grading scheme:  
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<br><UL>
<br><LI>Assignments 30%
<br><LI>Midterm     35% 
<br><LI>Research Proposal      35%
<br><LI>Participation 5%</UL>
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