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The top documents tagged [frequent terms]
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frequent terms
R and Data Mining: Examples and Case Studies
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CS276 Lecture 5. Plan Last lecture: Tolerant retrieval Wildcards Spell correction Soundex This time: Index construction.
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1 Text Categorization. 2 Assigning documents to a fixed set of categories. Applications: –Web pages Recommending Yahoo-like classification –Newsgroup.
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Topic/S – A Topic and Trend Recognition Approach in News-Media, I-Semantics13
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Tao of jeet kune do
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Perspective management
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(SoWeMine Workshop) "Retrieving Relevant and Interesting Tweets during Live Television Broadcasts" - Rianne Kaptein, Yi Zhu, Gijs Koot, Judith Redi, and Omar Niamut
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PCP2P: Probabilistic Clustering for P2P networks 32nd European Conference on Information Retrieval 28 th -31 st March 2010, Milton Keynes, UK Odysseas.
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IR Models: Overview, Boolean, and Vector. Introduction IR systems usually adopt index terms to process queries Index term: –a keyword or group of selected.
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CpSc 881: Information Retrieval. 2 Ranked retrieval Thus far, our queries have all been Boolean. Documents either match or don’t. Good for expert users.
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Query Operations; Relevance Feedback; and Personalization CSC 575 Intelligent Information Retrieval.
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ISP 433/533 Week 2 IR Models. Outline IR defined IR tasks IR processes Boolean model Break Vector space model Probabilistic model.
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