Artificial Intelligence and Soft Computing

1. Front Matter

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2. Data Mining

   1. Front Matter

      Pages 1-1

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   2. Visual Dictionary Pruning Using Mutual Information and Information Gain

      • Piotr Artiemjew, Przemysław Górecki

      Pages 3-14

   3. Mining Telecommunication Networks to Enhance Customer Lifetime Predictions

      • Aimée Backiel, Bart Baesens, Gerda Claeskens

      Pages 15-26

   4. A Note on Machine Learning Approach to Analyze the Results of Pairwise Comparison Based Parametric Evaluation of Research Units

      • Mateusz Baran, Konrad Kułakowski, Antoni Ligęza

      Pages 27-39

   5. Bagging of Instance Selection Algorithms

      • Marcin Blachnik, Mirosław Kordos

      Pages 40-51

   6. Essential Attributes Generation for Some Data Mining Tasks

      • Maciej Krawczak, Grażyna Szkatuła

      Pages 52-62

   7. Visualizing Random Forest with Self-Organising Map

      • Piotr Płoński, Krzysztof Zaremba

      Pages 63-71

   8. B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization

      • Rafał Zdunek, Andrzej Cichocki, Tatsuya Yokota

      Pages 72-81

   9. Variants and Performances of Novel Direct Learning Algorithms for L2 Support Vector Machines

      • Ljiljana Zigic, Vojislav Kecman

      Pages 82-91

3. Bioinformatics, Biometrics and Medical Applications

   1. Front Matter

      Pages 93-93

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   2. Evolving Parameters for a Noisy Biological System – The Impact of Alternative Approaches

      • David J. Barnes, Dominique Chu

      Pages 95-106

   3. Classification of EEG Signals Using Vector Quantization

      • Petr Berek, Michal Prilepok, Jan Platos, Vaclav Snasel

      Pages 107-118

   4. Offline Text-Independent Handwriting Identification and Shape Modeling via Probabilistic Nodes Combination

      • Dariusz Jacek Jakóbczak

      Pages 119-130

   5. Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images

      • Behnam Karimi, Adam Krzyżak

      Pages 131-142

   6. The Classifier for Prediction of Peri-operative Complications in Cervical Cancer Treatment

      • Jacek Kluska, Maciej Kusy, Bogdan Obrzut

      Pages 143-154

   7. Face Classification Based on Linguistic Description of Facial Features

      • Damian Kurach, Danuta Rutkowska, Elisabeth Rakus-Andersson

      Pages 155-166

   8. Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems

      • Agnieszka Oniśko, Marek J. Druzdzel

      Pages 167-178

   9. A New Three-Dimensional Facial Landmarks in Recognition

      • Sebastian Pabiasz, Janusz T. Starczewski, Antonino Marvuglia

      Pages 179-186

   10. Computer-Aided Off-Line Diagnosis of Epileptic Seizures

       • Grzegorz Rutkowski, Krzysztof Patan

       Pages 187-194

The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

• bioinformatics
• clustering and classification
• data mining
• heterogeneous (hybrid) systems
• image processing
• machine learning
• multi-core processing
• neural networks
• pattern recognition
• peer-to-peer networks
• support vector machines
• survival analysis
• visualization

• Częstochowa University of Technology, Częstochowa, Poland

  Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer

• AGH University of Science and Technology, Kraków, Poland

  Ryszard Tadeusiewicz

• Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, USA

  Lotfi A. Zadeh

• Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, Louisville, USA

  Jacek M. Zurada

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