COMP 5331 Knowledge Discovery and Data Mining Instructor

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COMP 5331: Knowledge Discovery and Data Mining Instructor: Lei Chen 1

COMP 5331: Knowledge Discovery and Data Mining Instructor: Lei Chen 1

Course Details n n n Course URL: http: //www. cse. ust. hk/~leichen/courses/COMP 53 31/

Course Details n n n Course URL: http: //www. cse. ust. hk/~leichen/courses/COMP 53 31/ Instructor: Dr. Lei Chen TA: Mr. Zheng Liu Venue and Time: 5583, M/W 10: 30 am-11: 50 am Reference books/materials: n n n COMP 5331 Papers Data Mining: Concepts and Techniques. Jiawei Han and Micheline Kamber. Morgan Kaufmann Publishers (3 rd edition) Introduction to Data Mining. Pang-Ning Tan, Michael Steinbach, Vipin Kumar Boston : Pearson Addison Wesley (2006) 2

Area n n DB or AI This course can count towards one of the

Area n n DB or AI This course can count towards one of the areas ONLY and cannot be double counted towards the required credits COMP 5331 3

Course Details n Grading Scheme: n n n COMP 5331 Project 40% (10% presentation

Course Details n Grading Scheme: n n n COMP 5331 Project 40% (10% presentation +30% final report+code) Midterm Exam 30% Final Exam 40% 4

Project Presentation Marking n Project Presentation Score Bonus Marks n n 01 March 2021

Project Presentation Marking n Project Presentation Score Bonus Marks n n 01 March 2021 Project Presentation Scores will be given by the audience (5%) and the instructor (5%) Participant and Marking Bonus: all the students are strongly encouraged to attend project presentation sessions and give marks to the presenter (the score sheet will be distributed at the beginning of the session). I will give you bonus 0. 25 mark for each filled score sheet. Question Bonus: all the students are encouraged to ask questions during the Question/Answer session after each presentation. Each student is allowed to ask one question in each paper presentation. For each asked question, I will give you bonus 0. 5 mark. You can staple your bonus coupon which we will give you on your filled score sheet. Please note, the questions like “Can you explain more? ”, “I cannot understand, can you repeat? ” will not be counted. For each paper presentation’s Q/A session, at most 3 questions are allowed to ask. Data Mining: Concepts and Techniques 5

Project n n Each project is completed by a group. Each group has no

Project n n Each project is completed by a group. Each group has no more than two people. The duration of each presentation depends on the class size. It will be announced soon. COMP 5331 6

Project n Project Type (One of the following) COMP 5331 n Survey n Implementation-oriented

Project n Project Type (One of the following) COMP 5331 n Survey n Implementation-oriented Project n Research-oriented Project 7

Project n Project Type (One of the following) 1. 2. 3. n Survey n

Project n Project Type (One of the following) 1. 2. 3. n Survey n Implementation-oriented Project n Research-oriented 1. 2. 3. 4. COMP 5331 Proposal Presentation Final report 1. 2. Project 3. 4. Full Score = 80% Full Score = 90% Proposal Presentation Final report Coding Proposal Full Score = 100% Presentation Final report (containing your proposed methodology) 8 Coding (if any)

Project n Project Topic n n n Some pre-selected topics/papers Your own choice For

Project n Project Topic n n n Some pre-selected topics/papers Your own choice For fairness, please do not choose the topic which is closely related to your own research COMP 5331 9

Exams n n You are allowed to bring a calculator with you. Please remember

Exams n n You are allowed to bring a calculator with you. Please remember to prepare a calculator for the exam Midterm Exam will be held on Oct 12 th, 2016 Final Exam will be held on the second week of Dec, 2016 COMP 5331 10