COMP 4332, RMBI 4330 Advanced Data Mining (Spring 2012) Qiang Yang Hong Kong University of Science and Technology [email protected] http://www.cs.ust.hk 2015/11/6 Course Introduction.
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Transcript COMP 4332, RMBI 4330 Advanced Data Mining (Spring 2012) Qiang Yang Hong Kong University of Science and Technology [email protected] http://www.cs.ust.hk 2015/11/6 Course Introduction.
COMP 4332, RMBI 4330
Advanced Data Mining (Spring
2012)
Qiang Yang
Hong Kong University of Science and Technology
[email protected]
http://www.cs.ust.hk
2015/11/6
Course Introduction
1
Topics
Review of Basics
Practical Data Mining
Imbalanced Data
Streaming and Time Series Data
Big Data
Social Recommendation
Social Media and Social Networks
Hands on: 2 Major Projects
Student Presentations
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2
Outcome and Objective
Student will know the current state of
the art in Data Mining
Student will be able to implement a
practical data mining project
Student will be able to present their
ideas well
Prepared for PG study, Internship, etc.
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Course Introduction
3
Projects:
Project 1:
KDDCUPs on credit rating and customer
retention (KDDCUP 2009)
Project 2:
based on KDDCUPs
Yahoo! Music Recommendation (KDDCUP
2011)
Project 3 (Optional): KDDCUP 2012
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KDDCUP Examples
—
KDDCUP from past years
—
In general, we wish to
2007:
—
Predict if a user is going to rate a movie?
—
Predict how many users are going to rate a
movie?
—
—
2006:
—
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Input: Data
—
Output:
—
Build model
—
Apply model to future data
Predict if a patient has cancer from
medical images
—
2005:
—
Given a web query (“Apple”), predict
the categories (IT, Food)
—
1998:
—
Given a person, predict if this
person is going to donate money
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5
Important Sites
Instructor Web Site
http://www.cse.ust.hk/~qyang/4332
TA: Yin Zhu and Kaixiang Mo
Assignment Hand-in: online
[email protected]
Course Discussion Site:
Check out the web cite…
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Prerequisites
Statistics and Probability would help,
Machine Learning/Pattern Recognition would
help,
But will be reviewed in class
We will review some most important algorithms
One programming language
We will teach new languages in the tutorial
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7
Grading
Assignments 10%
Course Projects and Presentations: 50%
Final Exam 40%
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8
More info
Textbooks:
Listed on Course Website
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Buy them online if you wish
Course Introduction
9