CS 430
Information Discovery
Fall 2001

Slides


Lectures

Lecture 1, Overview of information discovery
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Lecture 2, Introduction to text based information retrieval
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Lecture 3, Inverted files
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Lecture 4, Data structures for information retrieval
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Lecture 5, Descriptive Metadata 1, Library Catalogs, MARC
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Lecture 6, Descriptive Metadata 2, Library Catalogs, Dublin Core
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Lecture 7, Descriptive Metadata 3, Dublin Core, Automatic Generation of Catalog Records
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Lecture 8, Collection-Level Metadata, Vector Methods
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Lecture 9, Term Weighting and Page Ranks
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Lecture 10, Cranfield and TREC
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Lecture 11, Evaluation of retrieval effectiveness
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Lecture 12, Extending the Boolean model
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Lecture 13, Case study: the NSDL
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Lecture 14, Usability 1
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Lecture 15, Usability 2
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Lecture 16, Thesauruses and gazetteers
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Lecture 17, Probabilistic information retrieval
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Lecture 19, Web crawling
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Lecture 20, Web search engines
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Lecture 21, Non-textual materials 1
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Lecture 22, Non-textual materials 2
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Lecture 23, Query refinement
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Lecture 24, Cluster analysis 1
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Lecture 25, Cluster analysis 2; thesaurus construction
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Lecture 26, Automated information retrieval
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Discussion Classes

Discussion 1, Inverted files
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Discussion 3, Stemming algorithms
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Discussion 4, The Dublin Core Metadata Initiative
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Discussion 5, User interfaces
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Discussion 6, Ranking algorithms
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Discussion 7, Google
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Discussion 8, Informedia
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Discussion 9, Thesaurus construction
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Discussion 10, Cluster analysis
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Examinations

Sample Midterm Examination
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Slides that discuss the solutions
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Midterm Examination
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[CS 430 Home Page]

William Y. Arms
(wya@cs.cornell.edu)
Last changed: December 12, 2001