Computational Collective Intelligence. Technologies and Applications

1. Front Matter

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2. Knowledge Integration

   1. Comparison of One-Level and Two-Level Consensuses Satisfying the 2-Optimality Criterion

      • Adrianna Kozierkiewicz-Hetmańska

      Pages 1-10

   2. A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profiles

      • Marcin Maleszka, Bernadetta Mianowska, Ngoc-Thanh Nguyen

      Pages 11-20

   3. Solving Conflict on Collaborative Knowledge via Social Networking Using Consensus Choice

      • Quoc Uy Nguyen, Trong Hai Duong, Sanggil Kang

      Pages 21-30

   4. Integrating Multiple Experts for Correction Process in Interactive Recommendation Systems

      • Xuan Hau Pham, Jason J. Jung, Ngoc-Thanh Nguyen

      Pages 31-40

   5. Modeling Collaborative Knowledge of Publishing Activities for Research Recommendation

      • Tin Huynh, Kiem Hoang

      Pages 41-50

3. Data Mining for Collective Processing

   1. A New Approach for Problem of Sequential Pattern Mining

      • Thanh-Trung Nguyen, Phi-Khu Nguyen

      Pages 51-60

   2. Robust Human Detection Using Multiple Scale of Cell Based Histogram of Oriented Gradients and AdaBoost Learning

      • Van-Dung Hoang, My-Ha Le, Kang-Hyun Jo

      Pages 61-71

   3. Discovering Time Series Motifs Based on Multidimensional Index and Early Abandoning

      • Nguyen Thanh Son, Duong Tuan Anh

      Pages 72-82

   4. A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Recognition

      • Duc-Thuan Vo, Cheol-Young Ock

      Pages 83-93

   5. Information Extraction from Geographical Overview Maps

      • Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski

      Pages 94-103

   6. Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor

      • Bogusław Cyganek, Michał Woźniak

      Pages 104-113

   7. A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets

      • Bay Vo, Bac Le, Jason J. Jung

      Pages 114-123

   8. A Novel Trajectory Privacy-Preserving Future Time Index Structure in Moving Object Databases

      • Trong Nhan Phan, Tran Khanh Dang

      Pages 124-134

4. Fuzzy, Modal and Collective Systems

   1. Summarizing Knowledge Base with Modal Conditionals

      • Grzegorz Skorupa, Radosław Katarzyniak

      Pages 135-144

   2. Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method

      • Ali Selamat, S. O. Olatunji, Abdul Azeez Abdul Raheem

      Pages 145-155

   3. On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory

      • Agnieszka Jastrzebska, Wladyslaw Homenda

      Pages 156-165

   4. Comparison of Fuzzy Combiner Training Methods

      • Tomasz Wilk, Michał Woźniak

      Pages 166-173

   5. An Axiomatic Model for Merging Stratified Belief Bases by Negotiation

      • Trong Hieu Tran, Quoc Bao Vo

      Pages 174-184

   6. From Fuzzy Cognitive Maps to Granular Cognitive Maps

      • Witold Pedrycz, Wladyslaw Homenda

      Pages 185-193

The two volumes set LNCS 7653 and 7654 constitutes the refereed proceedings of the 4th International Conference on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh City, Vietnam, in November 2012. The 113 revised full papers presented were carefully reviewed and selected from 397 submissions. The papers are organized in topical sections on (Part I) knowledge integration; data mining for collective processing; fuzzy, modal, and collective systems; nature inspired systems; language processing systems; social networks and semantic web; agent and multi-agent systems; classification and clustering methods; modeling and optimization techniques for business intelligence; (Part II) multi-dimensional data processing; web systems; intelligent decision making; methods for scheduling; collective intelligence in web systems – web systems analysis; advanced data mining techniques and applications; cooperative problem solving; computational swarm intelligence; and semantic methods for knowledge discovery and communication

• Web services
• decision support systems
• entity recognition
• fuzzy classification
• recommendation systems

• Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

  Ngoc-Thanh Nguyen

• University of Information Technology, National Vietnam University VNU-HCM, Ho Chi Minh city, Vietnam

  Kiem Hoang

• Gdynia Maritime University, Gdynia, Poland

  Piotr Jȩdrzejowicz

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