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Modern Approaches in Applied Intelligence

24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 - July 1, 2011, Proceedings, Part I

  • Conference proceedings
  • © 2011

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Editors:
  1. Kishan G. Mehrotra

    1. School of Computer and Inforamtion Science, Center for Science and Technology, Syracuse University, Syracuse, USA

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  2. Chilukuri K. Mohan

    1. School of Computer and Inforamtion Science, Center for Science and Technology, Syracuse University, Syracuse, USA

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  3. Jae C. Oh

    1. Department of Electrical Engineering and Computer Science, Syracuse University, USA

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  4. Pramod K. Varshney

    1. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA

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  5. Moonis Ali

    1. Department of Computer Science, Texas State University San Marcos, San Marcos, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6703)

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

Included in the following conference series:

Conference proceedings info: IEA/AIE 2011.

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Table of contents (35 papers)

  1. Front Matter

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  2. Section 1: Incremental Clustering and Novelty Detection Techniques and Their Application to Intelligent Analysis of Time Varying Information

    1. Classification Model for Data Streams Based on Similarity

      • Dayrelis Mena Torres, Jesús Aguilar Ruiz, Yanet Rodríguez Sarabia
      Pages 1-9

    2. Comparison of Artificial Neural Networks and Dynamic Principal Component Analysis for Fault Diagnosis

      • Juan C. Tudón-Martínez, Ruben Morales-Menendez, Luis Garza-Castañón, Ricardo Ramirez-Mendoza
      Pages 10-18

    3. Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study

      • Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad
      Pages 19-28

  3. Section 2: Bayesian and Probabilistic Networks

    1. Fault Diagnosis in Power Networks with Hybrid Bayesian Networks and Wavelets

      • Luis E. Garza Castañón, Deneb Robles Guillén, Ruben Morales-Menendez
      Pages 29-38

    2. Learning Temporal Bayesian Networks for Power Plant Diagnosis

      • Pablo Hernandez-Leal, L. Enrique Sucar, Jesus A. Gonzalez, Eduardo F. Morales, Pablo H. Ibarguengoytia
      Pages 39-48

    3. On the Fusion of Probabilistic Networks

      • Salem Benferhat, Faiza Titouna
      Pages 49-58

  4. Section 3: Methodologies

    1. Basic Object Oriented Genetic Programming

      • Tony White, Jinfei Fan, Franz Oppacher
      Pages 59-68

    2. Inferring Border Crossing Intentions with Hidden Markov Models

      • Gurmeet Singh, Kishan. G. Mehrotra, Chilukuri. K. Mohan, Thyagaraju Damarla
      Pages 69-78

    3. A Framework for Autonomous Search in the Eclipse Solver

      • Broderick Crawford, Ricardo Soto, Mauricio Montecinos, Carlos Castro, Eric Monfroy
      Pages 79-84

    4. Multimodal Representations, Indexing, Unexpectedness and Proteins

      • Eric Paquet, Herna L. Viktor
      Pages 85-94

    5. A Generic Approach for Mining Indirect Association Rules in Data Streams

      • Wen-Yang Lin, You-En Wei, Chun-Hao Chen
      Pages 95-104

    6. Status Quo Bias in Configuration Systems

      • Monika Mandl, Alexander Felfernig, Juha Tiihonen, Klaus Isak
      Pages 105-114

    7. Improvement and Estimation of Prediction Accuracy of Soft Sensor Models Based on Time Difference

      • Hiromasa Kaneko, Kimito Funatsu
      Pages 115-124

    8. Network Defense Strategies for Maximization of Network Survivability

      • Frank Yeong-Sung Lin, Hong-Hsu Yen, Pei-Yu Chen, Ya-Fang Wen
      Pages 125-134

    9. PryGuard: A Secure Distributed Authentication Protocol for Pervasive Computing Environment

      • Chowdhury Hasan, Mohammad Adibuzzaman, Ferdaus Kawsar, Munirul Haque, Sheikh Iqbal Ahamed
      Pages 135-145

  5. Section 4: Feature Extraction, Discretization, Clustering, Quantization, and Data Refinement

    1. A Global Unsupervised Data Discretization Algorithm Based on Collective Correlation Coefficient

      • An Zeng, Qi-Gang Gao, Dan Pan
      Pages 146-155

    2. A Heuristic Data-Sanitization Approach Based on TF-IDF

      • Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang
      Pages 156-164

    3. Discovering Patterns for Prognostics: A Case Study in Prognostics of Train Wheels

      • Chunsheng Yang, Sylvain Létourneau
      Pages 165-175

  6. Section 5: Applications of Artificial Intelligence

    1. Automating the Selection of Storiesfor AI in the News

      • Liang Dong, Reid G. Smith, Bruce G. Buchanan
      Pages 176-185
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Other volumes

  1. Modern Approaches in Applied Intelligence

  2. Modern Approaches in Applied Intelligence

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About this book

The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011.
The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.

Editors and Affiliations

  • School of Computer and Inforamtion Science, Center for Science and Technology, Syracuse University, Syracuse, USA

    Kishan G. Mehrotra, Chilukuri K. Mohan

  • Department of Electrical Engineering and Computer Science, Syracuse University, USA

    Jae C. Oh

  • Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, USA

    Pramod K. Varshney

  • Department of Computer Science, Texas State University San Marcos, San Marcos, USA

    Moonis Ali

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