CS635: Web Search and Mining A
Autumn 2010
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Administrivia
- Instructor
- Soumen Chakrabarti
- Teaching assistant
- Bharath Balakrishna
- Time and place
- We are in
slot 9,
Mon, Thu 3:30--4:55, SIC201.
- Signup
- Closed.
- Moodle
- Visit the Moodle
site for CS635 here.
- Assignments
- Calendar
- What topic was covered
when.
Resources
Books in decreasing order of use made in this course:
- Witten, I. H., Moffat, A., and Bell, T. C. (1999). Managing
Gigabytes: Compressing and Indexing Documents and
Images. Morgan-Kaufman.
- Chakrabarti, S. (2002). Mining the
Web: Discovering knowledge from hypertext
data. Morgan-Kaufman.
- Baeza-Yates, R. and Ribeiro-Neto, B. (1999). Modern Information
Retrieval. Pearson Education.
- Manning, C., Raghavan, P., and Schutze, H. (2007). An Introduction to
Information Retrieval. Cambridge University Press.
- Grossman, D. A. and Frieder, O. (1998). Information Retrieval:
Algorithms and Heuristics. Kluwer.
- Croft, B., Metzler, D., and Strohman, T. (2009). Search Engines:
Information Retrieval in Practice. Pearson Education.
There will also be many papers, which will be linked off the course
calendar.
Evaluation
Credit students will need to write a midterm (approximately 30%)
and a final (approximately 50%) exam, and do a few assignments,
typically using Java, MG4J, WebGraph, Scilab and WEKA (approximately
20%).
Audit students have to write only the final exam and, to
pass, their score in the final exam must be above the bottom 20
percent of the class.
Eligibility
Mtech1s, DD4s and Btech3s are the primary targets for this
course. But it is open to all PG, DD and Btech4 students of all
departments subject to department/facad approval. If you are CSE
Btech3, ask for my consent by email while citing your CPI and
grades in Paradigms and Prob/Stat.