Intelligent Computing Theory

1. Front Matter

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2. Evolutionary Computation and Learning

   1. Self-tuning Performance of Database Systems with Neural Network

      • Conghuan Zheng, Zuohua Ding, Jueliang Hu

      Pages 1-12

   2. GA-EAM Based Hybrid Algorithm

      • Ashish Tripathi, Divya Kumar, Krishn Kumar Mishra, Arun Kumar Misra

      Pages 13-20

   3. Hybrid ITO Algorithm for Solving Numerical Optimization Problem

      • Yunfei Yi, Xiaodong Lin, Kang Sheng, Lin Jiang, Wenyong Dong, Yongle Cai

      Pages 21-31

   4. Performance Analysis of a (1+1) Surrogate-Assisted Evolutionary Algorithm

      • Yu Chen, Xiufen Zou

      Pages 32-40

   5. Parameters Selection for Support Vector Machine Based on Particle Swarm Optimization

      • Jun Li, Bo Li

      Pages 41-47

3. Swarm Intelligence and Optimization

   1. Adaptive Hybrid Artificial Fish School Algorithm for Solving the Real Roots of Polynomials

      • Pan Xue

      Pages 48-54

   2. Optimization of Moving Objects Trajectory Using Particle Filter

      • Yangweon Lee

      Pages 55-60

   3. Handing the Classification Methodology ORCLASS by Tool OrclassWeb

      • Plácido Rogerio Pinheiro, Thais Cristina Sampaio Machado, Isabelle Tamanini

      Pages 61-72

   4. Solving TSP Problems with Hybrid Estimation of Distribution Algorithms

      • Xiaoxia Zhang, Yunyong Ma

      Pages 73-81

   5. A Path Planning Algorithm Based on Parallel Particle Swarm Optimization

      • Weitao Dang, Kai Xu, Quanjun Yin, Qixin Zhang

      Pages 82-90

   6. An Optimal Probabilistic Transformation of Belief Functions Based on Artificial Bee Colony Algorithm

      • Yafei Song, Xiaodan Wang, Lei Lei, Aijun Xue

      Pages 91-100

4. Machine Learning

   1. Cost-Sensitive Bayesian Network Classifiers and Their Applications in Rock Burst Prediction

      • Ganggang Kong, Yun Xia, Chen Qiu

      Pages 101-112

   2. Nonparametric Discriminant Multi-manifold Learning

      • Bo Li, Jun Li, Xiao-Ping Zhang

      Pages 113-119

   3. Orthogonal Neighborhood Preservation Projection Based Method for Solving CNOP

      • Bin Mu, Shicheng Wen, Shijin Yuan, Hongyu Li

      Pages 120-126

   4. A Safety Requirement Elicitation Technique of Safety-Critical System Based on Scenario

      • Junwei Du, Jiqiang Wang, Xiaogang Feng

      Pages 127-136

5. Social and Natural Computing

   1. Modeling Information Diffusion in Social Networks Using Latent Topic Information

      • Devesh Varshney, Sandeep Kumar, Vineet Gupta

      Pages 137-148

   2. PRDiscount: A Heuristic Scheme of Initial Seeds Selection for Diffusion Maximization in Social Networks

      • Yufeng Wang, Bo Zhang, Athanasios V. Vasilakos, Jianhua Ma

      Pages 149-161

   3. Quantifying the Evolutions of Social Interactions

      • Zhenyu Wu, Yu Liu, Deyi Li, Yan Zhuang

      Pages 162-172

   4. Computing the Kirchhoff Index of Some xyz-Transformations of Regular Molecular Graphs

      • Yujun Yang

      Pages 173-183

This book – in conjunction with the volumes LNAI 8589 and LNBI 8590 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 92 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as evolutionary computation and learning; swarm intelligence and optimization; machine learning; social and natural computing; neural networks; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; knowledge discovery and data mining; signal processing; pattern recognition; biometric system and security for intelligent computing.

• bayesian networks
• biometrics
• cloud computing
• collaborative filtering
• computer vision
• data mining
• denial of service attack
• error analysis
• human computer interaction (HCI)
• image processing
• image segmentation
• neural networks
• object tracking
• recommender systems
• salient region detections
• support vector machines
• topic modeling
• uncertainty modeling

• School of Electronics and Information Engineering, Tongji University, Shanghai, China

  De-Shuang Huang

• Electrical and Electronics Department, Politecnico of Bari, Bari, Italy

  Vitoantonio Bevilacqua

• School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, North Wollongon, Australia

  Prashan Premaratne

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