Foundations of Intelligent Systems

1. Front Matter

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2. Knowledge Discovery and Data Mining

   1. An Anti-tampering Algorithm Based on an Artificial Intelligence Approach

      • Andrea Moio, Attilio Giordana, Dino Mendola

      Pages 1-10

   2. Domain Knowledge and Data Mining with Association Rules – A Logical Point of View

      • Jan Rauch

      Pages 11-20

   3. The Problem of Finding the Sparsest Bayesian Network for an Input Data Set is NP-Hard

      • Paweł Betliński, Dominik Ślęzak

      Pages 21-30

   4. Mining Top-K Non-redundant Association Rules

      • Philippe Fournier-Viger, Vincent S. Tseng

      Pages 31-40

   5. ABML Knowledge Refinement Loop: A Case Study

      • Matej Guid, Martin Možina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtošek et al.

      Pages 41-50

   6. Min-Max Itemset Trees for Dense and Categorical Datasets

      • Jennifer Lavergne, Ryan Benton, Vijay V. Raghavan

      Pages 51-60

   7. TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure

      • Jennifer Lavergne, Ryan Benton, Vijay V. Raghavan

      Pages 61-70

   8. Incremental Rules Induction Method Based on Three Rule Layers

      • Shusaku Tsumoto, Shoji Hirano

      Pages 71-80

   9. RPKM: The Rough Possibilistic K-Modes

      • Asma Ammar, Zied Elouedi, Pawan Lingras

      Pages 81-86

   10. Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm

       • Jan Kohout, Roman Neruda

       Pages 87-92

   11. Local Probabilistic Approximations for Incomplete Data

       • Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen

       Pages 93-98

   12. On the Relations between Retention Replacement, Additive Perturbation, and Randomisations for Nominal Attributes in Privacy Preserving Data Mining

       • Piotr Andruszkiewicz

       Pages 99-104

3. Intelligent Information Systems

   1. Decision Support for Extensive Form Negotiation Games

      • Sujata Ghosh, Thiri Haymar Kyaw, Rineke Verbrugge

      Pages 105-114

   2. Intelligent Alarm Filter Using Knowledge-Based Alert Verification in Network Intrusion Detection

      • Yuxin Meng, Wenjuan Li, Lam-for Kwok

      Pages 115-124

   3. Clustering-Based Media Analysis for Understanding Human Emotional Reactions in an Extreme Event

      • Chao Gao, Jiming Liu

      Pages 125-135

   4. An Event-Driven Architecture for Spatio-temporal Surveillance of Business Activities

      • Gabriel Pestana, Joachim Metter, Sebastian Heuchler, Pedro Reis

      Pages 136-142

4. Text Mining and Language Processing

   1. Multiple Model Text Normalization for the Polish Language

      • Łukasz Brocki, Krzysztof Marasek, Danijel Koržinek

      Pages 143-148

   2. Discovering Semantic Relations Using Prepositional Phrases

      • Janardhana Punuru, Jianhua Chen

      Pages 149-154

   3. DEBORA: Dependency-Based Method for Extracting Entity-Relationship Triples from Open-Domain Texts in Polish

      • Alina Wróblewska, Marcin Sydow

      Pages 155-161

This book constitutes the proceedings of the 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012, held in Macau, China, in December 2012. The 42 regular papers and 11 short papers presented were carefully reviewed and selected from 88 submissions. They are organized in topical sections named: knowledge discovery and data mining; intelligent information systems; text mining and language processing; knowledge representation and integration; music information retrieval; recommender systems; technology intelligence and applications; product configuration; human factors in information retrieval; social recommender systems; and warehousing and OLAPing complex, spatial and spatio-temporal data.

• ETL
• association rule mining
• ontology
• semantic Web
• social Web

• Hong Kong Baptist University, Kowloon, Hong Kong

  Li Chen, Jiming Liu

• Institute for Software Technology, Graz University of Technology, Graz, Austria

  Alexander Felfernig

• University of North Carolina, Charlotte, NC 28223, USA and Warsaw University of Technology, Warsaw, Poland

  Zbigniew W. Raś

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