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Welcome! DragonStar 2010: Data Mining and Appl. To Sensor Networks

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Welcome! DragonStar 2010: Data Mining and Appl. To Sensor Networks Qiang Yang, Yunhao Liu Hong Kong University of Science and Technology qyang_at_cs.ust.hk – PowerPoint PPT presentation

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Title: Welcome! DragonStar 2010: Data Mining and Appl. To Sensor Networks


1
Welcome! DragonStar 2010 Data Mining and Appl.
To Sensor Networks
  • Qiang Yang, Yunhao Liu
  • Hong Kong University of Science and Technology
  • qyang_at_cs.ust.hk
  • http//www.cs.ust.hk

2
Data Mining An Example
  • KDDCUP from past years
  • 2007
  • Predict if a user is going to rate a movie?
  • Predict how many users are going to rate a movie?
  • 2006
  • 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
  • In general, we wish to
  • Input Data
  • Output
  • Build model
  • Apply model to future data

2
3
Data Mining Convergence of Three Technologies
3
4
Definition Predictive Model
  • A black box that makes predictions about the
    future based on information from the past and
    present
  • Large number of inputs usually available

4
5
How are Models Built and Used?
  • High Level View

5
6
What does the Real World Look Like
6
7
This Course
  • Foundations
  • Classification Models
  • Clustering Models
  • Feature Selection
  • Advanced Topics
  • Link prediction
  • Transfer Learning
  • Query analysis
  • Applications
  • Web
  • Wireless
  • Application to Sensor Nets
  • Sensor Net Basics
  • Application Examples
  • Student Projects
  • Weka applications
  • Presentations
  • Panel Discussions
  • Data mining research
  • Student QA

8
Course Description
  • Data Mining and Knowledge Discovery
  • Focus
  • Focus 1 Theoretical foundations in Pattern
    Recognition and Machine Learning
  • Algorithms
  • Differences?
  • where they apply?
  • Focus 2 Survey of recent research
  • Focus 3 Hands-on, apply algorithms to KDD data
    sets

9
Hands On
  • Software Weka (Matlab)
  • Projects
  • Data Sets
  • Projects ? Research Topics
  • Presentation (Friday)

10
Textbooks (DM)
  • Textbooks For reference only
  • Data Mining -- Concepts and Techniques by Jiawei
    Han and Micheline Kamber. Morgan Kaufmann
    Publishers.
  • Introduction to Data Mining by Pang-Ning Tan,
    Michael Steinbach, and Vipin Kumar, Pearson
    International Edition, 2005.
  • Data Mining.  by Ian Witten and Ebe Frank.
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