Intelligent Information Processing and Web Mining

1. Front Matter

   Pages I-XIV

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2. Regular Sessions: Artificial Immune Systems

   1. Front Matter

      Pages I-XIV

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   2. Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization

      • Aleksander Byrski, Marek Kisiel-Dorohinicki

      Pages 3-10

   3. An Immunological and an Ethically-social Approach to Security Mechanisms in a Multiagent System

      • Krzysztof Cetnarowicz, Renata Cięciwa, Gabriel Rojek

      Pages 11-19

   4. Randomized Dynamic Generation of Selected Melanocytic Skin Lesion Features

      • Zdzisław S. Hippe, Jerzy W. Grzymała-Busse, Ł. Piątek

      Pages 21-29

   5. Controlling Spam: Immunity-based Approach

      • Konrad Kawecki, Franciszek Seredyński, Marek Pilski

      Pages 31-40

   6. A Comparison of Clonal Selection Based Algorithms for Non-Stationary Optimisation Tasks

      • Krzysztof Trojanowski, Sławomir T. Wierzchoń

      Pages 41-52

3. Regular Sessions: Evolutionary Methods

   1. Front Matter

      Pages I-XIV

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   2. On Asymptotic Behaviour of a Simple Genetic xsAlgorithm

      • Witold Kosiński, Stefan Kotowski, Jolanta Socała

      Pages 55-64

   3. Evolutionary Algorithm of Radial Basis Function Neural Networks and Its Application in Face Recognition

      • Jianyu Li, Xianglin Huang, Rui Li, Shuzhong Yang, Yingjian Qi

      Pages 65-74

   4. GAVis System Supporting Visualization, Analysis and Solving Combinatorial Optimization Problems Using Evolutionary Algorithms

      • Piotr Świtalski, Franciszek Seredyński, Przemysław Hertel

      Pages 75-84

4. Regular Sessions: Computational Linguistics

   1. Front Matter

      Pages I-XIV

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   2. Gazetteer Compression Technique Based on Substructure Recognition

      • Jan Daciuk, Jakub Piskorski

      Pages 87-95

   3. WFT – Context-Sensitive Speech Signal Representation

      • Jakub Gałka, Michał Kępiński

      Pages 97-105

5. Regular Sessions: Web Technologies

   1. Front Matter

      Pages I-XIV

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   2. Adaptive Document Maps

      • Krzysztof Ciesielski, Michał Dramiński, Mieczysław A. Kłopotek, Dariusz Czerski, Sławomir T. Wierzchoń

      Pages 109-120

   3. Faster Frequent Pattern Mining from the Semantic Web

      • Joanna Józefowska, Agnieszka Ławrynowicz, Tomasz Łukaszewski

      Pages 121-130

   4. Collective Behaviour of Cellular Automata Rules and Symmetric Key Cryptography

      • Miroslaw Szaban, Franciszek Seredy nski, Pascal Bouvry

      Pages 131-140

6. Regular Sessions: Foundations of Knowledge Discovery

   1. Front Matter

      Pages I-XIV

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   2. Experiments on Data with Three Interpretations of Missing Attribute Values—A Rough Set Approach

      • Jerzy W. Grzymała-Busse, Steven Santoso

      Pages 143-152

This volume contains selected papers, presented at the international c- ference on Intelligent Information Processing and Web Mining Conference nd IIS:IIPWM’06, organized in Ustro? (Poland) on June 19-22 , 2006. The event was organized by the Institute of Computer Science of Polish Academy of Sciences, a leading Polish research institution in fundamental and applied research in the area of Arti?cial Intelligence (AI) and of Inf- mation Systems (IS), in cooperation with a number of scienti?c and business institutions. It was a continuation of a series of conferences on these subjects, initiated by Prof. M. D?browski and Dr. M. Michalewicz in 1992. The conference was addressed primarily to those who are active in - ti?cial Immune Systems (AIS) and other biologically motivated methods, Computational Linguistics (CL), Web technologies (WT), and Knowledge Discovery (KD), and all kinds of interactions between those ?elds. Thesubmitted paperscoverednewcomputing paradigms,amongothersin biologically motivated methods, advanced data analysis, new machine lea- ing paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches. The - pers give an overview over a wide range of applications for intelligent systems: in operating systems design, in network security, for information extraction from multimedia (sound, graphics), in ?nancial market analysis, in medicine, in geo-science, etc. Though numerous papers have been submitted, only a fraction of them (about 40%) was accepted for publication in a rigorous reviewing process.

• Lazy learning
• Spam
• Wrapper
• artificial neural network
• automation
• cognition
• combinatorial optimization
• emotion
• genetic programming
• modeling
• modelling
• multimedia
• neural network
• proving
• semantic web
• information and communication, circuits

• Polish Academy of Sciences, Institute of Computer Science, Warszawa, Poland

  Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Krzysztof Trojanowski

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