Advances in Swarm and Computational Intelligence

1. Front Matter

   Pages I-XIX

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2. Neural Networks and Fuzzy Methods

   1. Front Matter

      Pages 1-1

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   2. Apply Stacked Auto-Encoder to Spam Detection

      • Guyue Mi, Yang Gao, Ying Tan

      Pages 3-15

   3. Interval-Valued Intuitionistic Fuzzy Prioritized Ordered Weighted Averaging Operator and Its Application in Threat Assessment

      • Hua Wu, Xiuqin Su

      Pages 16-24

   4. Optimizing Production and Distribution Problem for Agricultural Products with Type-2 Fuzzy Variables

      • Xuejie Bai, Lijun Xu

      Pages 25-32

   5. Application of Fuzzy Set FScom in the Evaluation of Water Quality Level

      • Yongxi Lv, Zhenghua Pan

      Pages 33-41

   6. A New Evolutionary Fuzzy Instance-Based Learning Approach: Application for Detection of Parkinson’s Disease

      • Huiling Chen, Jiayi Lu, Qiang Li, Congcong Lou, Daopin Pan, Zhe Yu

      Pages 42-50

3. Data Mining Approaches

   1. Front Matter

      Pages 51-51

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   2. Temporal Pattern of Human Post and Interaction Behavior in Qzone

      • Bing Li, Nan Hu, Wenjun Wang, Ning Yuan

      Pages 53-62

   3. An Empirical Analysis on Temporal Pattern of Credit Card Trade

      • Bo Zhao, Wenjun Wang, Guixiang Xue, Ning Yuan, Qiang Tian

      Pages 63-70

   4. Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG

      • Lei Xing, Wenjun Wang, Guixiang Xue, Hao Yu, Xiaotong Chi, Weidi Dai

      Pages 71-80

   5. Text Classification Based on Paragraph Distributed Representation and Extreme Learning Machine

      • Li Zeng, Zili Li

      Pages 81-88

   6. Network Comments Data Mining-Based Analysis Method of Consumer’s Perceived Value

      • Jiaming Lv, Quanyuan Wu, Jiuming Huang, Sheng Zhu

      Pages 89-97

   7. Fruit Fly Optimization Algorithm Based SVM Classifier for Efficient Detection of Parkinson’s Disease

      • Liming Shen, Huiling Chen, Wenchang Kang, Haoyue Gu, Bingyu Zhang, Ting Ge

      Pages 98-106

   8. A New Framework for Anomaly Detection Based on KNN-Distort in the Metro Traffic Flow

      • Yapeng Zhang, Nan Hu, Wenjun Wang, Hao Yu

      Pages 107-116

   9. Improving OCR-Degraded Arabic Text Retrieval Through an Enhanced Orthographic Query Expansion Model

      • Tarek Elghazaly

      Pages 117-124

4. Information Security

   1. Front Matter

      Pages 125-125

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   2. Framework to Secure Data Access in Cloud Environment

      • Rachna Jain, Sushila Madan, Bindu Garg

      Pages 127-135

   3. Mutual Authentication Protocol Based on Smart Card and Combined Secret Key Encryption

      • Guifen Zhao, Liping Du, Ying Li, Guanning Xu

      Pages 136-143

   4. Study of a Secret Information Transmission Scheme Based on Invisible ASCII Characters

      • Yuchan Li, Xing Hong, Guangming Cui, Erzhou Zhu

      Pages 144-150

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

• Algorithms
• Ant colony optimization
• Big data
• Biologically inspired algorithms
• Cellular automata
• Cloud computing
• Collaborative modeling
• Constrained optimization
• Data mining
• Evolutionary algorithm
• Genetic algorithm
• Informatidn hiding
• Machine learning
• Multi-agent system
• Neural networks
• Ontology
• Optimization
• Particle swarm optimization
• Pattern recognition
• Simulation and modeling

• Peking University, Beijing, China

  Ying Tan

• Xi'ian Jiaotong-Liverpool University, Suzhou, China

  Yuhui Shi

• Universidade de Pernambuco, Recife, Brazil

  Fernando Buarque

• Instituto Politécnico Nacional, Mexico, Mexico

  Alexander Gelbukh

• Indian Statistical Institute, Kolkata, India

  Swagatam Das

• University of Pretoria, Pretoria, South Africa

  Andries Engelbrecht

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