Data Mining and Electronic Business: Technology, Information, and Innovation Class 2 Stat252 Summer...
5
Data Mining and Electronic Business: Technology, Information, and Innovation Class 2 Stat252 Summer 2004 Stanford University Andreas S. Weigend, Ph.D. Chief Scientist, BV Capital Founder, Weigend Associates LLC • 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
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Transcript of Data Mining and Electronic Business: Technology, Information, and Innovation Class 2 Stat252 Summer...
Data Mining and Electronic Business:Technology, Information, and Innovation
Class 2
Stat252Summer 2004
Stanford UniversityAndreas S. Weigend, Ph.D.
Chief Scientist, BV CapitalFounder, Weigend Associates LLC
• DatesT 6/29 W 6/30 T 7/6W 7/7M 7/12 (+ party)T 7/13M 7/19 T 7/20M 7/26 T 7/27 W 7/28T 8/3
• Time: 3:15pm - 5:00pm
2 © 2004 by Weigend Associates LLC | www.weigend.com
Agenda Class 2
• Summary of Class 1
Discussion: What were the main insights obtained in Class 1?
• Organization
TAs
Project
Textbooks
Background reading
Technology: BFS Ch2
Statistics: B&L Ch5
• Lecture
Introduction to e-Business
3 © 2004 by Weigend Associates LLC | www.weigend.com
Logistics
• Andreas S. Weigend. Ph.D.
Contact during class via Yahoo messenger: [email protected]
General information at www.weigend.com
• Teaching Assistants
TA for students coming to class 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 Eric Bair
• TA responsibilities
Help with: Data analysis and statistics background, technical questions
Questions about assigned readings
Logistics
4 © 2004 by Weigend Associates LLC | www.weigend.com
Project
• 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?
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?
Timeline, budget…
• Evaluation criteria
Relevance of problem
Crispness of the proposal
Originality, creativity
Suitability of analysis techniques
Definition of appropriate baselines for comparison
5 © 2004 by Weigend Associates LLC | www.weigend.com
Project Logistics
• Group size: 2-3 students
Remote students, if you need partner, please contact TA
• Timeline Submit by email to your TA by end of the day (all deadlines are Sunday evening)
Jul 11: One-pager
Key idea
Feedback to students by Jul 14
Jul 25: Proposal as text document
Aug 1: Presentation
8 – 12 slides
• Bonus
The best 2-3 project proposals will be presented in the Aug 3 class
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
