12.587, TOC: Artificial Intelligence Review Vol. 14

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LINGUIST List:  Vol-12-587. Fri Mar 2 2001. ISSN: 1068-4875.

Subject: 12.587, TOC: Artificial Intelligence Review Vol. 14

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1)
Date:  Thu, 01 Mar 2001 02:17:37 +0100 (MET)
From:  kap-listman at wkap.nl
Subject:  Artificial Intelligence Review. Vol. 14, Issue 6, December 2000

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

Date:  Thu, 01 Mar 2001 02:17:37 +0100 (MET)
From:  kap-listman at wkap.nl
Subject:  Artificial Intelligence Review. Vol. 14, Issue 6, December 2000



Artificial Intelligence Review
An International Science and Engineering Journal

ISSN 0269-2821

http://www.wkap.nl/issuetoc.htm/0269-2821+14+6+2000

Vol. 14, Issue 6, December 2000.

TITLE:      About the Authors
AUTHOR(S):
KEYWORD(S): customer retention, data mining, deviation analysis, feature
            selection, multiple level association rules.
PAGE(S):    3-8

TITLE:      PlanMine- Predicting Plan Failures Using Sequence Mining
AUTHOR(S):  Mohammed J. Zaki, Neal Lesh, Mitsunori Ogihara
KEYWORD(S): plan monitoring, predicting failures, sequence mining.
PAGE(S):    421-446

TITLE:      Intelligent Data Analysis for Protein Disorder Prediction
AUTHOR(S):  Pedro Romero, Zoran Obradovic, A. Keith Dunker
KEYWORD(S): data mining, neural networks, protein structure, protein
            disorder prediction, protein databases.
PAGE(S):    447-484

TITLE:      Automated Cellular Modeling and Prediction on a Large Scale
AUTHOR(S):  Piew Datta, Brij Masand, D. R. Mani, Bin Li
KEYWORD(S): churn prediction, neural networks, decision trees.
PAGE(S):    485-502

TITLE:      Techniques and Experience in Mining Remotely Sensed Satellite Data
AUTHOR(S):  Thomas H. Hinke, John Rushing, Heggere Ranganath, Sara J. Graves
KEYWORD(S): data mining, association rules, remotely sensed satellite data,
            texture mining, target independent mining.
PAGE(S):    503-531

TITLE:      Adaptive Intrusion Detection- A Data Mining Approach
AUTHOR(S):  Wenke Lee, Salvatore J. Stolfo, Kui W.  Mok
KEYWORD(S): association rules, audit data, classification, feature
            construction, frequent episodes, intrusion detection.
PAGE(S):    533-567

TITLE:      Customer Retention via Data Mining
AUTHOR(S):  KianSing Ng, Huan Liu
KEYWORD(S): customer retention, data mining, deviation analysis, feature
            selection, multiple level association rules.
PAGE(S):    569-590

TITLE:      Language, Vision & Music- Workshop Report on  The Eighth
            International Workshop on the  Cognitive Science of Natural
            Language Processing (CSNLP-8) National University of Ireland,
            Galway (NUI Galway), Galway, Ireland Monday 9th-:Wednesday
            11th August, 1999
AUTHOR(S):  Paul Mc Kevitt, Conn Mulvihill, Sean O Nuallain
KEYWORD(S): customer retention, data mining, deviation analysis, feature
            selection, multiple level association rules.
PAGE(S):    591-613

TITLE:      Dov M. Gabbay, C.J. Hogger, J.A. Robinson (Eds.), Handbook
            of Logic in Artificial Intelligence and Logic Programming,
            Volume 2- Deduction Methodologies
AUTHOR(S):  Gregor Erbach, Werner Saurer
PAGE(S):    615-617

TITLE:      Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou, Dynamic
            Vision: From Images to Face Recognition
AUTHOR(S):  Jonathan Campbell
KEYWORD(S): customer retention, data mining, deviation analysis, feature
            selection, multiple level association rules.
PAGE(S):    619-621



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