11.234, TOC: Artificial Intelligence Review, Vol 13: 5/6

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Subject: 11.234, TOC: Artificial Intelligence Review, Vol 13: 5/6

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=================================Directory=================================

1)
Date:  Fri, 04 Feb 2000 02:21:57 +0100 (MET)
From:  kap-listman at wkap.nl
Subject:  Artificial Intelligence Review. Vol. 13, Issue 5/6

-------------------------------- Message 1 -------------------------------

Date:  Fri, 04 Feb 2000 02:21:57 +0100 (MET)
From:  kap-listman at wkap.nl
Subject:  Artificial Intelligence Review. Vol. 13, Issue 5/6


Artificial Intelligence Review
An International Survey and Tutorial Journal

ISSN 0269-2821

http://www.wkap.nl/issuetoc.htm/0269-2821+13+5/6+1999

Vol. 13, Issue 5/6, December 1999.

TITLE: Websom for Textual Data Mining
AUTHOR(S): Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
KEYWORD(S): data mining, document filtering, exploratory data analysis,
            information retrieval, self-organizing map, SOM, text document
            collection, WEBSOM.
PAGE(S): 345-364

TITLE: Document Categorization and Query Generation on the World
       Wide Web Using WebACE
AUTHOR(S): Daniel Boley, Maria Gini, Robert Gross, Eui-Hong (Sam) Han,
           Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher,
           Jerome Moore
KEYWORD(S): clustering, divisive partitioning, graph partitioning,
            principal component analysis, web documents.
PAGE(S): 365-391

TITLE: A Framework for Collaborative, Content-Based  and Demographic
       Filtering
AUTHOR(S): Michael J. Pazzani
KEYWORD(S): collaborative filtering, information filters, recommendation
            systems.
PAGE(S): 393-408

TITLE: Topic Distillation and Spectral Filtering
AUTHOR(S): Soumen Chakrabarti, Byron E. Dom, David Gibson, Ravi Kumar,
           Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins
KEYWORD(S): hypertext, information filtering, information retrieval,
            resource discovery, spectral methods, world wide web, www.
PAGE(S): 409-435

TITLE: Medical Data Mining on the Internet: Research on a Cancer
       Information System
AUTHOR(S): Andrea L. Houston, Hsinchun Chen, Susan M. Hubbard,
           Bruce R. Schatz, Tobun D. Ng, Robin R. Sewell, Kristin M. Tolle
KEYWORD(S): CancerLit, concept spaces, data mining, Hopfield net, information
retrieval, Kohonen net, medical knowledge, neural networks.
PAGE(S): 437-466

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