Intelligent Computing Theories and Application

1. Information Security, Knowledge Discovery and Data Mining

   1. Balanced Tree-Based Support Vector Machine for Friendly Analysis on Mobile Network

      • Han Wu, Bingqing Luo, Zhixin Sun

      Pages 183-191

   2. Feature Combination Methods for Prediction of Subcellular Locations of Proteins with Both Single and Multiple Sites

      • Luyao Wang, Dong Wang, Yuehui Chen, Shanping Qiao, Yaou Zhao, Hanhan Cong

      Pages 192-201

2. Systems Biology and Intelligent Computing in Computational Biology

   1. Front Matter

      Pages 203-203

      PDF

   2. Performance and Improvement of Tree-Based Methods for Gene Regulatory Network Reconstruction

      • Ming Shi, Yan-Wen Chong, Shao-Ming Pan

      Pages 205-213

   3. A Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis

      • Bo Li, Xiao-Hui Lei, Yang Hu, Xiao-Long Zhang

      Pages 214-223

   4. Analysis of Mitochondrial Hsp70 Homolog Amino Acid Sequences of Amitochondriate Organisms Using Apriori and Decision Tree

      • Jiwon Song, Taeseon Yoon

      Pages 224-233

   5. Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data

      • Jiawei Luo, Bin Liu, Buwen Cao, Shulin Wang

      Pages 234-246

   6. PFC: An Efficient Soft Graph Clustering Method for PPI Networks Based on Purifying and Filtering the Coupling Matrix

      • Ying Liu, Amir Foroushani

      Pages 247-257

   7. MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification

      • Weiheng Huang, Hongmin Cai, Wei Shao, Bo Xu, Fuqiang Li

      Pages 258-267

   8. Construction of Protein Phosphorylation Network Based on Boolean Network Methods Using Proteomics Data

      • Han Yu, Yaou Zhao, Shiyuan Han, Yuehui Chen, Wenxing He, Likai Dong

      Pages 268-277

   9. Analysis of MicroRNA and Transcription Factor Regulation

      • Wei-Li Guo, Kyungsook Han, De-Shuang Huang

      Pages 278-284

   10. Gene Extraction Based on Sparse Singular Value Decomposition

       • Xiangzhen Kong, Jinxing Liu, Chunhou Zheng, Junliang Shang

       Pages 285-293

   11. Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics

       • Jie Li, Hongfei Ji, Rong Gu, Lusong Hou, Zhicheng Zhang, Qiang Wu et al.

       Pages 294-305

   12. Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images

       • Vitoantonio Bevilacqua, Maurizio Triggiani, Maurizio Dimatteo, Giuseppe Bellantuono, Antonio Brunetti, Leonarda Carnimeo et al.

       Pages 306-316

   13. Using the Ranking-Based KNN Approach for Drug Repositioning Based on Multiple Information

       • Xin Tian, Mingyuan Xin, Jian Luo, Zhenran Jiang

       Pages 317-327

   14. Depth-First Search Encoding of RNA Substructures

       • Qingfeng Chen, Chaowang Lan, Jinyan Li, Baoshan Chen, Lusheng Wang, Chengqi Zhang

       Pages 328-334

   15. A Practical Algorithm for the 2-Species Duplication-Loss Small Phylogeny Problem

       • Jingli Wu, Junwei Wang

       Pages 335-346

   16. Prediction of Phosphorylation Sites Using PSO-ANNs

       • Ruizhi Han, Dong Wang, Yuehui Chen, Wenzheng Bao, Qianqian Zhang, Hanhan Cong

       Pages 347-355

   17. Predicting Subcellular Localization of Multiple Sites Proteins

       • Dong Wang, Wenzheng Bao, Yuehui Chen, Wenxing He, Luyao Wang, Yuling Fan

       Pages 356-365

   18. Dynamically Heuristic Method for Identifying Mutated Driver Pathways in Cancer

       • Shu-Lin Wang, Yiyan Tan

       Pages 366-376

This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016.

The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

• biological networks
• computer vision
• ensemble methods
• kernel methods
• artificial intelligence
• neural networks
• bioinformatics
• computational biology
• computational genomics
• data mining and clustering
• deep learning
• dimensionality reduction and manifold learning
• feature selection
• molecular sequence analysis
• motif discovery
• reinforcement learning
• semi-supervised learning
• supervised learning
• support vector machines
• unsupervised learning

• Tongji University , Shanghai, China

  De-Shuang Huang

• Polytechnic of Bari , Bari, Italy

  Vitoantonio Bevilacqua

• University of Wollongong , North Wollongong, Australia

  Prashan Premaratne

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