CS/CMPE 536 - Data Mining

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General Information

Instructor: Dr. Asim Karim
E-mail: akarim at lums
Office hours: 3.00 - 4.30 PM TR
Office: 429
Phone ext: 4429

Class coordinates: TR 10.15 - 11.30 AM in A-9

TA: Muhammad Yousuf Bawany (yusuf@lums.edu.pk)
TA office hours: MW 11.30 to 1 PM in Lab 1 or CS TA room


Data mining or the discovery of knowledge in large datasets has created a lot of interest in the database and data engineering communities in recent years.  The tremendous increase in the generation and collection of data has highlighted the urgent need for systems that can extract useful and actionable knowledge from large datasets. This course will provide a comprehensive introduction to the data mining process; build theoretical and conceptual foundations of key data mining tasks such as association rules mining, classification and clustering; discuss analysis and implementation of algorithms; and introduce major research sub-areas such as text mining and web mining. Students will get hands on experience through the implementation of algorithms and use of software tools in exercises.  Selected research papers will also be discussed in class to supplement the text book material. For details, please see the course outline.


Supplementary Texts


September 7
Welcome to the course. Regularly check this page for announcements and updates. Check the resource page for web links on data mining. Start thinking about a project for the course.

September 8
Assignment 1 has been posted. It is due by class time on September 16.

September 16
Course project handout has been posted on the assignments/project page. Please read through it. You are required to name your group members by Friday and submit a proposal by the following Monday.
Solution to quiz 1 has been posted.

September 25
Assignment 2 has been posted on the assignments page. It is due by 5 PM on October 5 (Tuesday). This is a fairly long exercise, so I strongly recommend that you start early.

October 12
Solution to quiz 2 and 3 posted.

October 15
Assignment 3 has been posted. It is due on Oct. 26 (Tuesday).
REMINDER: start working on your project diligently.

October 20
Solution to the midterm exam posted on the quiz solution page. Please go over it carefully.

October 28
Solution to quiz 4 posted. I have uploaded the papers for the clustering algorithms on the handouts page.

November 2
Assignment 4 has been posted. It is due by 11.59 PM on Nov. 11. Solution to quiz 5 posted.

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