Foundations of Intelligent Systems

1. Front Matter

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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

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.

• Artificial intelligence
• autonom
• data mining
• data warehouse
• evolution
• evolutionary computation
• information system
• intelligence
• intelligent systems
• knowledge
• knowledge discovery
• knowledge representation
• logic
• text mining

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