Skip to main content
SpringerLink
Log in
Book cover

Foundations of Intelligent Systems

17th International Symposium, ISMIS 2008 Toronto, Canada, May 20-23, 2008 Proceedings

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Aijun An
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Stan Matwin
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Zbigniew W. Raś
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Dominik Ślęzak
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4994)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ISMIS 2008.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (71 papers)

  1. Front Matter

    Download chapter PDF

  2. Invited Papers

    1. From Goals to High-Variability Software Design

      • Yijun Yu, Alexei Lapouchnian, Sotirios Liaskos, John Mylopoulos, Julio C. S. P. Leite
      Pages 1-16

    2. Exploring the Power of Heuristics and Links in Multi-relational Data Mining

      • Xiaoxin Yin, Jiawei Han
      Pages 17-27

    3. Intelligent Software Engineering Tools for NASA’s Crew Exploration Vehicle

      • Michael Lowry
      Pages 28-37

  3. Knowledge Discovery and Data Mining - Foundations

    1. Boosting Support Vector Machines for Imbalanced Data Sets

      • Benjamin X. Wang, Nathalie Japkowicz
      Pages 38-47

    2. Class-Oriented Reduction of Decision Tree Complexity

      • José-Luis Polo, Fernando Berzal, Juan-Carlos Cubero
      Pages 48-57

    3. Evaluating Decision Trees Grown with Asymmetric Entropies

      • Simon Marcellin, Djamel A. Zighed, Gilbert Ritschard
      Pages 58-67

    4. Stepwise Induction of Logistic Model Trees

      • Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara
      Pages 68-77

    5. Stochastic Propositionalization for Efficient Multi-relational Learning

      • N. Di Mauro, T. M. A. Basile, S. Ferilli, F. Esposito
      Pages 78-83

    6. Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient

      • Hidenao Abe, Shusaku Tsumoto
      Pages 84-89

  4. Knowledge Discovery and Data Mining - Advances

    1. Obtaining Low-Arity Discretizations from Online Data Streams

      • Tapio Elomaa, Petri Lehtinen, Matti Saarela
      Pages 90-99

    2. Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets

      • Elie Prudhomme, Stéphane Lallich
      Pages 100-110

    3. Mining Induced and Embedded Subtrees in Ordered, Unordered, and Partially-Ordered Trees

      • Aída Jiménez, Fernando Berzal, Juan-Carlos Cubero
      Pages 111-120

    4. A Structure-Based Clustering on LDAP Directory Information

      • Vassiliki Koutsonikola, Athena Vakali, Antonios Mpalasas, Michael Valavanis
      Pages 121-130

    5. iZi: A New Toolkit for Pattern Mining Problems

      • Frédéric Flouvat, Fabien De Marchi, Jean-Marc Petit
      Pages 131-136

    6. A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases

      • Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 137-142

    7. LAREDAM – Considerations on System of Local Analytical Reports from Data Mining

      • Jan Rauch, Milan Šimůnek
      Pages 143-149

    8. Outlier Detection Techniques for Process Mining Applications

      • Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
      Pages 150-159

  5. Knowledge Discovery and Data Mining - Mining Changes and Actionable Patterns

    1. Action Rule Extraction from a Decision Table: ARED

      • Seunghyun Im, Zbigniew W. Raś
      Pages 160-168

    2. Discovering the Concise Set of Actionable Patterns

      • Li-Shiang Tsay, Zbigniew W. Raś
      Pages 169-178
Back to top

Other volumes

  1. Foundations of Intelligent Systems

Keywords

About this book

This volume contains the papers selected for presentation at the 17th Inter- tional Symposium on Methodologies for Intelligent Systems (ISMIS 2008), held in York University, Toronto, Canada, May 21–23, 2008. ISMIS is a conference series started in 1986. Held twice every three years, ISMIS provides an inter- tional forum for exchanging scienti?c research and technological achievements in building intelligent systems. Its goal is to achieve a vibrant interchange - tween researchers and practitioners on fundamental and advanced issues related to intelligent systems. ISMIS 2008featureda selectionof latestresearchworkandapplicationsfrom the following areas related to intelligent systems: active media human–computer interaction, autonomic and evolutionary computation, digital libraries, intel- gent agent technology, intelligent information retrieval, intelligent information systems, intelligent language processing, knowledge representation and integ- tion, knowledge discovery and data mining, knowledge visualization, logic for arti?cial intelligence, soft computing, Web intelligence, and Web services. - searchers and developers from 29 countries submitted more than 100 full - pers to the conference. Each paper was rigorously reviewed by three committee members and external reviewers. Out of these submissions, 40% were selected as regular papers and 22% as short papers. ISMIS 2008 also featured three plenary talks given by John Mylopoulos, Jiawei Han and Michael Lowry. They spoke on their recent research in age- oriented software engineering, information network mining, and intelligent so- ware engineering tools, respectively.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation