Advances in Swarm Intelligence

1. Front Matter

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2. Machine Learning Methods

   1. An Automatic Learning System to Derive Multipole and Local Expansions for the Fast Multipole Method

      • Seyed Naser Razavi, Nicolas Gaud, Abderrafiâa Koukam, Naser Mozayani

      Pages 1-10

   2. Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model

      • Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zong-Ben Xu et al.

      Pages 11-17

   3. Automatic Scoring on English Passage Reading Quality

      • Junbo Zhang, Fuping Pan, Yongyong Yan

      Pages 18-25

   4. An e-Learning System Based on GWT and Berkeley DB

      • Bo Song, Miaoyan Li

      Pages 26-32

   5. An Expandable Recommendation System on IPTV

      • Jie Xiao, Liang He

      Pages 33-40

   6. Intrinsic Protein Distribution on Manifolds Embedded in Low-Dimensional Space

      • Wei-Chen Cheng

      Pages 41-48

   7. A Novel Approach to Modelling Protein-Protein Interaction Networks

      • Zhuhong You, Yingke Lei, Zhen Ji, Zexuan Zhu

      Pages 49-57

   8. Additive Order Preserving Encryption Based Encrypted Documents Ranking in Secure Cloud Storage

      • Jiuling Zhang, Beixing Deng, Xing Li

      Pages 58-65

   9. Research of Web Image Retrieval Technology Based on Hu Invariant Moments

      • Jian Wu, Siyong Xiong

      Pages 66-73

   10. A Classifier Based on Minimum Circum Circle

       • Xi Huang, Ying Tan, Xingui He

       Pages 74-83

3. Feature Extraction and Selection Algorithms

   1. Research on Domain-Specific Features Clustering Based Spectral Clustering

      • Xiquan Yang, Meijia Wang, Lin Fang, Lin Yue, Yinghua Lv

      Pages 84-92

   2. An Iterative Approach to Keywords Extraction

      • Yang Wei

      Pages 93-99

   3. Knowledge Annotation Framework Oriented Geospatial Semantic Web Service Management

      • Rupeng Liang, Hongwei Li, Jian Chen, Leilei Ma, Hu Chen

      Pages 100-107

   4. Optimizing Supplier Selection with Disruptions by Chance-Constrained Programming

      • Wenjuan Zang, Yankui Liu, Zhenhong Li

      Pages 108-116

4. Data Mining Methods

   1. Flock by Leader: A Novel Machine Learning Biologically Inspired Clustering Algorithm

      • Abdelghani Bellaachia, Anasse Bari

      Pages 117-126

   2. Cluster_KDD: A Visual Clustering and Knowledge Discovery Platform Based on Concept Lattice

      • Amel Grissa Touzi, Amira Aloui, Rim Mahouachi

      Pages 127-136

   3. Design and Implementation of an Intelligent Automatic Question Answering System Based on Data Mining

      • Zhe Qu, Qin Wang

      Pages 137-146

   4. Comprehensive Evaluation of Chinese Liquor Quality Based on Improved Gray-Clustering Analysis

      • Huanglin Zeng, Xuefei Tang

      Pages 147-154

   5. Ontology-Based Hazard Information Extraction from Chinese Food Complaint Documents

      • Xiquan Yang, Rui Gao, Zhengfu Han, Xin Sui

      Pages 155-163

This book and its companion volume, LNCS vols. 7331 and 7332, constitute the Proceedings of the Third International conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.

• data mining
• machine learning
• multi-agent systems
• optimization algorithms
• parallel implementation
• algorithm analysis and problem complexity

• Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China

  Ying Tan

• Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

  Yuhui Shi

• Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

  Zhen Ji

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