CS635: Web Search and Mining A
Autumn 2011
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Administrivia
- Instructor
- Soumen Chakrabarti
- Course overview
- Course introduction
- Teaching assistant
- Smita Bhutada
and Sasidhar Kasturi
- Time and place
- We are in
slot 11,
Tue, Fri 3:30--4:55, SIC201.
- Moodle
- Visit the Moodle
site for CS635 here.
- Assignments
- Usually on Moodle.
Resources
Books in decreasing order of use made in this course:
- Baeza-Yates, R. and Ribeiro-Neto, B. (1999). Modern Information
Retrieval. Pearson Education.
- Chakrabarti, S. (2002). Mining the
Web: Discovering knowledge from hypertext
data. Morgan-Kaufman.
- Manning, C., Raghavan, P., and Schutze, H. (2007). An Introduction to
Information Retrieval. Cambridge University Press.
- Witten, I. H., Moffat, A., and Bell, T. C. (1999). Managing
Gigabytes: Compressing and Indexing Documents and
Images. Morgan-Kaufman.
- 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
syllabus.
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 do all homeworks.
- Midterm exam with some answers.
- Quiz with some answers.
- Final exam with some answers.
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.