1. Course Desc<x>ription
<br><TABLE><TR><TD>This course covers the essential concepts, principles, 
<br>techniques, and applications associated with data mining.  The state-of-the-art 
<br>techniques, including traditional approaches as well as recent research 
<br>developments, would be introduced in this course.  </TD></TR></TABLE>
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<br>2.Text Book
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<br><TABLE><TR><TD><B>Introduction to Data Mining</B>, Pearson International 
<br>Edition,by P. Tan, M. Steinbach, V.Kumar</TD></TR></TABLE>
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<br>3. References
<br>Will be listed in course website
<br>http://www.cs.nthu.edu.tw/~yishin/courses/ISA5810/ISA5810-2023.html
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<br>4.Teaching Method
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<br><UL><LI>50% Lectures
<br><LI>50% Student Presentations</UL>
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<br>5.Syllabus
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<br><TABLE><TR><TD>Introduction and overview  
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<br><LI>Introduction
<br><LI>Data
<br><LI>Association Rules
<br><LI>Clustering
<br><LI>Classification
<br><LI>Text mining
<br><LI>Social Media
<br><LI>Data Mining Applications
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<br>6. E-Learning Platform Locations
<br>Teams: 
<br>https://teams.microsoft.com/l/team/19%3a9wk45zUpUKCmjRDatFrnyAw7MPXBR0Q7nHgmIGysV3
<br>A1%40thread.tacv2/conversations?groupId=637cf1d7-4e47-4d1e-b660-
<br>a6c52088d0db&tenantId=6c3bc511-43c7-4596-baeb-2335c69c41f1
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<br>7.AI Policy
<br>During the examination and in the coding assignments, the use of AI tools is 
<br>strictly prohibited. However, these tools are permissible for assistance in 
<br>composing reports. It is crucial to ensure that you are the authentic author of 
<br>your work and to openly declare any instances of AI usage.
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