Intelligent Information and Database Systems

1. Computer Vision Techniques

   1. Intelligent Image Content Description and Analysis for 3D Visualizations of Coronary Vessels

      • Mirosław Trzupek, Marek R. Ogiela, Ryszard Tadeusiewicz

      Pages 193-202

   2. Discriminant Orthogonal Rank-One Tensor Projections for Face Recognition

      • Chang Liu, Kun He, Ji-liu Zhou, Chao-Bang Gao

      Pages 203-211

   3. Robust Visual Tracking Using Randomized Forest and Online Appearance Model

      • Nam Vo, Quang Tran, Thang Dinh, Tien Dinh

      Pages 212-221

   4. Graphical Pattern Identification Inspired by Perception

      • Urszula Markowska-Kaczmar, Adam Rybski

      Pages 222-231

   5. Rule Induction Based-On Coevolutionary Algorithms for Image Annotation

      • Paweł B. Myszkowski

      Pages 232-241

2. Multiple Model Approach to Machine Learning (MMAML 2011)

   1. Complex Fuzzy Computing to Time Series Prediction — A Multi-Swarm PSO Learning Approach

      • Chunshien Li, Tai-Wei Chiang

      Pages 242-251

   2. Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network

      • Afif bin Md Akib, Nordin bin Saad, Vijanth Sagayan Asirvadam

      Pages 252-261

   3. A Novel Hybrid Forecast Model with Weighted Forecast Combination with Application to Daily Rainfall Forecast of Fukuoka City

      • Sirajum Monira Sumi, Md. Faisal Zaman, Hideo Hirose

      Pages 262-271

   4. Estimation of Optimal Sample Size of Decision Forest with SVM Using Embedded Cross-Validation Method

      • Md. Faisal Zaman, Hideo Hirose

      Pages 272-281

   5. Combining Classifier with a Fuser Implemented as a One Layer Perceptron

      • Michal Wozniak, Marcin Zmyslony

      Pages 282-291

   6. Search Result Clustering Using Semantic Web Data

      • Marek Kopel, Aleksander Zgrzywa

      Pages 292-301

   7. Data Filling Approach of Soft Sets under Incomplete Information

      • Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain

      Pages 302-311

   8. Empirical Comparison of Bagging Ensembles Created Using Weak Learners for a Regression Problem

      • Karol Bańczyk, Olgierd Kempa, Tadeusz Lasota, Bogdan Trawiński

      Pages 312-322

   9. Investigation of Bagging Ensembles of Genetic Neural Networks and Fuzzy Systems for Real Estate Appraisal

      • Olgierd Kempa, Tadeusz Lasota, Zbigniew Telec, Bogdan Trawiński

      Pages 323-332

   10. Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes

       • Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko

       Pages 333-342

3. Intelligent Cloud Computing and Security (ICCS 2011)

   1. Ontology-Based Resource Management for Cloud Computing

      • Yong Beom Ma, Sung Ho Jang, Jong Sik Lee

      Pages 343-352

   2. Self-similarity Based Lightweight Intrusion Detection Method for Cloud Computing

      • Hyukmin Kwon, Taesu Kim, Song Jin Yu, Huy Kang Kim

      Pages 353-362

   3. A Production Planning Methodology for Semiconductor Manufacturing Based on Simulation and Marketing Pattern

      • You su Mok, Dongsik Park, Chilgee Lee, Youngshin Han

      Pages 363-371

   4. Data Hiding in a Halftone Image Using Hamming Code (15, 11)

      • Cheonshik Kim, Dongkyoo Shin, Dongil Shin

      Pages 372-381

   5. A Test Framework for Secure Distributed Spectrum Sensing in Cognitive Radio Networks

      • Mihui Kim, Hyunseung Choo, Min Young Chung

      Pages 382-391

The two-volume set LNAI 6591 and LNCS 6592 constitutes the refereed proceedings of the Third International Conference on Intelligent Information and Database Systems, ACIIDS 2011, held in Daegu, Korea, in April 2011. The 110 revised papers presented together with 2 keynote speeches were carefully reviewed and selected from 310 submissions. The papers are thematically divided into two volumes; they cover the following topics: intelligent database systems, data warehouses and data mining, natural language processing and computational linguistics, semantic Web, social networks and recommendation systems, technologies for intelligent information systems, collaborative systems and applications, e-business and e-commerce systems, e-learning systems, information modeling and requirements engineering, information retrieval systems, intelligent agents and multi-agent systems, intelligent information systems, intelligent internet systems, intelligent optimization techniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unified processes, Web services and semantic Web, computer networks and communication systems.

• Web mining
• algorithms
• data and systems security
• distributed systems
• neural and social networks
• algorithm analysis and problem complexity

• Wroclaw University of Technology, Wroclaw, Poland

  Ngoc Thanh Nguyen

• Department of Computer Engineering, Yeungnam University, Gyeungsan, Korea

  Chong-Gun Kim

• Institute of Informatics, Automation and Robotics, Wroclaw University of Technology, Wrocław, Poland

  Adam Janiak

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