Rough Sets and Knowledge Technology

1. Front Matter

   PDF

2. Keynote Papers

   1. Knowware: A Commodity Form of Knowledge

      • Ruqian Lu

      Pages 1-2

   2. Granular Computing in Multi-agent Systems

      • Witold Pedrycz

      Pages 3-17

   3. Linguistic Dynamic Systems for Computing with Words and Granular Computing

      • Fei-Yue Wang

      Pages 18-18

3. Tutorial Papers (Extended Abstracts)

   1. Rough Set Approach to KDD (Extended Abstract)

      • Hung Son Nguyen, Andrzej Skowron

      Pages 19-20

   2. Dominance-Based Rough Set Approach to Reasoning about Ordinal Data - A Tutorial

      • Roman Słowiński

      Pages 21-22

   3. Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial

      • Salvatore Greco

      Pages 23-24

   4. Introduction to 3DM: Domain-Oriented Data-Driven Data Mining

      • Guoyin Wang

      Pages 25-26

   5. Granular Computing: Past, Present, and Future

      • Yiyu (Y. Y. ) Yao

      Pages 27-28

   6. Rough Logics with Possible Applications to Approximate Reasoning

      • Mihir Kr. Chakraborty

      Pages 29-30

4. Rough and Soft Computing

   1. A Comparison of Six Approaches to Discretization—A Rough Set Perspective

      • Piotr Blajdo, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Teresa Mroczek, Lukasz Piatek

      Pages 31-38

   2. Adaptive Classification with Jumping Emerging Patterns

      • Pawel Terlecki, Krzysztof Walczak

      Pages 39-46

   3. Two-Phase Rule Induction from Incomplete Data

      • Huaxiong Li, Yiyu Yao, Xianzhong Zhou, Bing Huang

      Pages 47-54

   4. Comparison of Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules

      • Paweł Delimata, Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj

      Pages 55-62

   5. Consistency and Fuzziness in Ordered Decision Tables

      • Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang

      Pages 63-71

   6. Fast Knowledge Reduction Algorithms Based on Quick Sort

      • Feng Hu, Guoyin Wang, Lin Feng

      Pages 72-79

   7. Multiple-Source Approximation Systems: Membership Functions and Indiscernibility

      • Md. Aquil Khan, Mohua Banerjee

      Pages 80-87

   8. Stability Analysis on Rough Set Based Feature Evaluation

      • Qinghua Hu, Jinfu Liu, Daren Yu

      Pages 88-96

   9. Apply a Rough Set-Based Classifier to Dependency Parsing

      • Yangsheng Ji, Lin Shang, Xinyu Dai, Ruoce Ma

      Pages 97-105

   10. Four-Valued Extension of Rough Sets

       • Aida Vitória, Andrzej Szałas, Jan Małuszyński

       Pages 106-114

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16–19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based rough set approach, fuzzy-rough hybridization, gr- ular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinform- ics and cognitive informatics, Web intelligence, pattern recognition, and real-life applications of knowledge technology. A very strict quality control policy was adopted in the paper review process of RSKT 2008. Firstly, the PC Chairs - viewed all submissions.

• DOM
• Web Intelligence
• bioinformatics
• cognition
• data mining
• fuzzy
• intelligence
• knowledge
• learning
• machine learning
• pattern recognition

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