Transcript www.weigend.com

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Data Mining and Electronic Business:
Technology, Information, and Innovation
Dates
T 6/29
W 6/30 
T 7/6
W 7/7
M 7/12 (+ party)
T 7/13
M 7/19
T 7/20
M 7/26
T 7/27
W 7/28
T 8/3
Time:
3:15pm - 5:00pm
Class 2
Stat252
Summer 2004
Stanford University
Andreas S. Weigend, Ph.D.
Chief Scientist, BV Capital
Founder, Weigend Associates LLC
Agenda Class 2
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Summary of Class 1
Discussion: What were the main insights obtained in Class 1?
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Organization
TAs
Project
Textbooks
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Background reading
Technology: BFS Ch2
Statistics: B&L Ch5
Lecture
Introduction to e-Business
2
© 2004 by Weigend Associates LLC | www.weigend.com
Logistics
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Andreas S. Weigend. Ph.D.
Contact during class via Yahoo messenger: [email protected]
General information at www.weigend.com
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Teaching Assistants
TA for students coming to class
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Armin Schwartzman
Office hours: Mon and Tue 2:15 – 3:00. Sequoia 238,
or by appointment [email protected]
TA for students taking course remotely, and students who prefer communicating
through email
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Eric Bair
[email protected]
TA responsibilities
Help with:
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Data analysis and statistics background, technical questions
Questions about assigned readings
Logistics
© 2004 by Weigend Associates LLC | www.weigend.com
Project
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Define a data mining problem in e-Business
What are the objectives?
What (management) decisions will this project support?
What data do you need to collect?
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Be specific, discuss difficulties, order of magnitude etc.
What initial analysis will you perform?
What data mining algorithms will you apply, and why?
What resources do you expect it to take?
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Timeline, budget…
Evaluation criteria
Relevance of problem
Crispness of the proposal
Originality, creativity
Suitability of analysis techniques
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Definition of appropriate baselines for comparison
© 2004 by Weigend Associates LLC | www.weigend.com
Project Logistics
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Group size: 2-3 students
Remote students, if you need partner, please contact TA
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Timeline
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Submit by email to your TA by end of the day (all deadlines are Sunday evening)
Jul 11: One-pager
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Key idea
Feedback to students by Jul 14
Jul 25: Proposal as text document
Aug 1: Presentation
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8 – 12 slides
Bonus
The best 2-3 project proposals will be presented in the Aug 3 class
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The winners will announced at the beginning of that class
Encouragement
Contact me if you are interested in discussing it with some of the data-intensive
companies who had sent their data mining heads to the first class
© 2004 by Weigend Associates LLC | www.weigend.com