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Rough Sets and Current Trends in Computing

7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings

  • Marcin Szczuka
  • Marzena Kryszkiewicz
  • Sheela Ramanna
  • Richard Jensen
  • Qinghua Hu
Conference proceedings RSCTC 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6086)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6086)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Talks

    1. Emergent Dynamics of Information Propagation in Large Networks
      Katia Sycara
      Pages 1-1
    2. New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach
      Roman Słowiński
      Pages 2-3

  3. RSCTC 2010 Discovery Challenge

    1. RSCTC’2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment
      Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan Bazan, ChuanJiang Luo, Ze Chen et al.
      Pages 4-19
    2. TunedIT.org: System for Automated Evaluation of Algorithms in Repeatable Experiments
      Marcin Wojnarski, Sebastian Stawicki, Piotr Wojnarowski
      Pages 20-29

  4. Clustering

    1. Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis
      Indrajit Saha, Dariusz Plewczyński, Ujjwal Maulik, Sanghamitra Bandyopadhyay
      Pages 30-39
    2. Probabilistic Rough Entropy Measures in Image Segmentation
      Dariusz Małyszko, Jarosław Stepaniuk
      Pages 40-49
    3. Distance Based Fast Hierarchical Clustering Method for Large Datasets
      Bidyut Kr. Patra, Neminath Hubballi, Santosh Biswas, Sukumar Nandi
      Pages 50-59
    4. TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality
      Marzena Kryszkiewicz, Piotr Lasek
      Pages 60-69

  5. Multimedia and Telemedicine: Soft Computing Applications

    1. Vehicle Classification Based on Soft Computing Algorithms
      Piotr Dalka, Andrzej Czyżewski
      Pages 70-79
    2. Controlling Computer by Lip Gestures Employing Neural Networks
      Piotr Dalka, Andrzej Czyżewski
      Pages 80-89
    3. Computer Animation System Based on Rough Sets and Fuzzy Logic
      Piotr Szczuko
      Pages 90-99
    4. Adaptive Phoneme Alignment Based on Rough Set Theory
      Konstantinos Avdelidis, Charalampos Dimoulas, George Kalliris, George Papanikolaou
      Pages 100-109
    5. Monitoring Parkinson’s Disease Patients Employing Biometric Sensors and Rule-Based Data Processing
      Paweł Żwan, Katarzyna Kaszuba, Bożena Kostek
      Pages 110-119
    6. Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News
      Kazimierz Choroś, Piotr Pawlaczyk
      Pages 120-129

  6. Combined Learning Methods and Mining Complex Data

    1. Combining Multiple Classification or Regression Models Using Genetic Algorithms
      Andrzej Janusz
      Pages 130-137
    2. Argument Based Generalization of MODLEM Rule Induction Algorithm
      Krystyna Napierała, Jerzy Stefanowski
      Pages 138-147
    3. Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble
      Jerzy Błaszczyński, Magdalena Deckert, Jerzy Stefanowski, Szymon Wilk
      Pages 148-157
    4. Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
      Krystyna Napierała, Jerzy Stefanowski, Szymon Wilk
      Pages 158-167
    5. Tracking Recurrent Concepts Using Context
      João Bártolo Gomes, Ernestina Menasalvas, Pedro A. C. Sousa
      Pages 168-177
    6. Support Feature Machine for DNA Microarray Data
      Tomasz Maszczyk, Włodzisław Duch
      Pages 178-186
    7. Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together?
      Dominik Ślȩzak, Sebastian Widz
      Pages 187-196
    8. Improving Co-training with Agreement-Based Sampling
      Jin Huang, Jelber Sayyad Shirabad, Stan Matwin, Jiang Su
      Pages 197-206
    9. Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data
      William Klement, Szymon Wilk, Martin Michalowski, Ken Farion
      Pages 207-216
    10. Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data
      Torsten Schön, Alexey Tsymbal, Martin Huber
      Pages 217-226

  7. Rough Sets: Logical and Mathematical Foundations

    1. A Fuzzy View on Rough Satisfiability
      Anna Gomolińska
      Pages 227-236
    2. Rough Sets in Terms of Discrete Dynamical Systems
      Marcin Wolski
      Pages 237-246
    3. A Preference-Based Multiple-Source Rough Set Model
      Md. Aquil Khan, Mohua Banerjee
      Pages 247-256
    4. Classification of Dynamics in Rough Sets
      Davide Ciucci
      Pages 257-266
    5. Relational Granularity for Hypergraphs
      John G. Stell
      Pages 267-276
    6. Perceptual Tolerance Intersection
      Piotr Wasilewski, James F. Peters, Sheela Ramanna
      Pages 277-286

  8. Rough Approximations: Foundations and Methodologies

    1. Categories of Direlations and Rough Set Approximation Operators
      Murat Diker
      Pages 287-296
    2. Approximations and Classifiers
      Andrzej Skowron, Jarosław Stepaniuk
      Pages 297-306
    3. A Note on a Formal Approach to Rough Operators
      Adam Grabowski, Magdalena Jastrzȩbska
      Pages 307-316
    4. Communicative Approximations as Rough Sets
      Mohua Banerjee, Abhinav Pathak, Gopal Krishna, Amitabha Mukerjee
      Pages 317-326
    5. On the Correctness of Rough-Set Based Approximate Reasoning
      Patrick Doherty, Andrzej Szałas
      Pages 327-336
    6. Unit Operations in Approximation Spaces
      Zbigniew Bonikowski
      Pages 337-346

  9. Machine Learning: Methodologies and Algorithms

    1. Weighted Nearest Neighbor Classification via Maximizing Classification Consistency
      Pengfei Zhu, Qinghua Hu, Yongbin Yang
      Pages 347-355
    2. Rough Set-Based Incremental Learning Approach to Face Recognition
      Xuguang Chen, Wojciech Ziarko
      Pages 356-365
    3. A Comparison of Dynamic and Static Belief Rough Set Classifier
      Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
      Pages 366-375
    4. Rule Generation in Lipski’s Incomplete Information Databases
      Hiroshi Sakai, Michinori Nakata, Dominik Ślȩzak
      Pages 376-385
    5. A Fast Randomisation Test for Rule Significance
      Ivo Düntsch, Günther Gediga
      Pages 386-391
    6. Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging
      Jerzy Błaszczyński, Roman Słowiński, Jerzy Stefanowski
      Pages 392-401
    7. Learnability in Rough Set Approaches
      Jerzy Błaszczyński, Roman Słowiński, Marcin Szela̧g
      Pages 402-411
    8. Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts
      Igor Chikalov, Mikhail Moshkov, Beata Zielosko
      Pages 412-417
    9. An Extension of Rough Set Approximation to Flow Graph Based Data Analysis
      Doungrat Chitcharoen, Puntip Pattaraintakorn
      Pages 418-427
    10. Credibility Coefficients Based on SVM
      Roman Podraza, Bartosz Janeczek
      Pages 428-437
    11. On Algorithm for Building of Optimal α-Decision Trees
      Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov
      Pages 438-445
    12. Layered Approximation Approach to Knowledge Elicitation in Machine Learning
      Tuan Trung Nguyen
      Pages 446-455

  10. Multiagent Systems

    1. Configuration Management of Mobile Agents Based on SNMP
      Michał Komorowski
      Pages 456-465

About these proceedings

Keywords

algorithms classification clustering complexity data mining fuzzy sets machine learning rough sets sorting

Editors and affiliations

  • Marcin Szczuka
    • 1
  • Marzena Kryszkiewicz
    • 2
  • Sheela Ramanna
    • 3
  • Richard Jensen
    • 4
  • Qinghua Hu
    • 5
  1. 1.Institute of MathematicsWarsaw UniversityWarsawPoland
  2. 2.ICS, Warsaw University of Technology, 
  3. 3.Department of Applied Computer ScienceUniversity of WinnipegWinnipegCanada
  4. 4.Dept. of Computer ScienceThe University of WalesAberystwythUK
  5. 5.Harbin Institute of TechnologyHarbinChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13529-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13528-6
  • Online ISBN 978-3-642-13529-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site