5/4: Final Agenda

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5/4 Final Agenda

• 315320 Raspberry bars
• In lieu of Google IPO shares..
• Homework 3 returned
• Questions on Final?
• 315--340 Demos of student projects
• Steve Commisso Wes Dyer Jianchun Fan
• 340420 Interactive Semester Review
• 420430 Parting words

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Course Outcomes
What did you think these were going to be??

• After this course, you should be able to answer
• How search engines work and why are some better
  than others
• Can web be seen as a collection of
  (semi)structured databases?
• If so, can we adapt database technology to Web?
• Can useful patterns be mined from the pages/data
  of the web?

REVIEW
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Main Topics

• Approximately three halves plus a bit
• Information retrieval
• Information integration/Aggregation
• Information mining
• other topics as permitted by time

REVIEW
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Adapting old disciplines for Web-age

• Information (text) retrieval
• Scale of the web
• Hyper text/ Link structure
• Authority/hub computations
• Databases
• Multiple databases
• Heterogeneous, access limited, partially
  overlapping
• Network (un)reliability
• Datamining Machine Learning/Statistics/Databases
  
• Learning patterns from large scale data

REVIEW
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From my perspective, we did it all!

• 1/201/22 intro vector space
• 1/271/29 vectorspace
• 2/32/5 correlation LSI
• 2/102/12 Search engine tech A/H 2/162/20
  Search engine tech Page rank practicial
  considerations
• 2/242/26 --Google Crawling Clustering 3/23/4
  --Clustering 2 collaborative filtering
• 3/9Midterm
• 3/11 --Mid-term discussion Content based
  filtering start of classification learning.
  SPRING BREAK

• 3/23--Naive Bayes Classification Text
  Classification and Spam Filtering (3/25)
• 3/30 DB refresher
• 4/1 XML 4/6 Xquery usecases semantic
  web4/8Information Integration start
• 4/134/15 Over view of Info. vs. Data
  integration Issues in DI (vs. DB and DDB)
  issues in DB/IR. Project 2 discussion DI
  Models (GAV vs. LAV)
• 4/204/22 GAV/LAV models Query optimization in
  Data Integration
• 4/274/29 Bibfinder DB/IR
• 5/4 Interactive Semester Review

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Interactive Semester Review
A Farside treasury
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Rao I could've taught more...I could've taught
more, if I'd just...I could've taught
more...TU Rao, there are twenty people who
are mad at you because you taught too much.
Look at them.Rao If I'd made more time...I
wasted so much time, you have no idea. If I'd
just...TU There will be generations (of bitter
people) because of what you did.Rao I didn't do
enough.TU You did so much.Rao This slide. We
couldve removed this slide. Why did I keep the
slide? Two minutes, right there. Two minutes, two
more minutes.. This music, a bit on p2p. This
review. Two points on custom portals. I could
easily have made two for it. At least one. I
couldve gotten one more point across. One more.
One more point. A point, Sree. For this. I
could've gotten one more point across and I
didn't. ?
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