Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II | SpringerLink
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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Xiaofei He

    1. Zhejiang University, Hangzhou, China

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  2. Xinbo Gao

    1. Xidian University, Xi'an, China

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  3. Yanning Zhang

    1. Northwestern Polytechnical University, Xi'an, China

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  4. Zhi-Hua Zhou

    1. Nanjing University, Nanjing, China

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  5. Zhi-Yong Liu

    1. Chinese Academy of Sciences, Beijing, China

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  6. Baochuan Fu

    1. Suzhou University of Science and Technology, Suzhou, China

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  7. Fuyuan Hu

    1. Suzhou University of Science and Technology, Jiangsu, China

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  8. Zhancheng Zhang

    1. Suzhou University of Science and Technology, Jiangsu, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9243)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: IScIDE 2015.

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About this book

The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. 

The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

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Table of contents (61 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Exhaustive Hybrid Posting Lists Traversing Technique

    • Kun Jiang, Yuexiang Yang
    Pages 1-11

  3. Control Parameters Optimization for Spacecraft Large Angle Attitude Based on Multi-PSO

    • Wenbo Zhao, Jianxin Zhang, Qiang Zhang, Xiaopeng Wei
    Pages 12-19

  4. Analysis of the Time Characteristics of Network Water Army Based on BBS Information

    • Chunlong Fan, Chang Liu, Chi Zhang, Hengchao Wu
    Pages 20-28

  5. Aspect and Sentiment Unification Model for Twitter Analysis

    • Hui Zhang, Tong-xin Wang, Yi-qun Liu, Shao-ping Ma
    Pages 29-42

  6. A Balanced Vertex Cut Partition Method in Distributed Graph Computing

    • Rujun Sun, Lufei Zhang, Zuoning Chen, Ziyu Hao
    Pages 43-54

  7. Non-convex Regularized Self-representation for Unsupervised Feature Selection

    • Weizhi Wang, Hongzhi Zhang, Pengfei Zhu, David Zhang, Wangmeng Zuo
    Pages 55-65

  8. Ranking Web Page with Path Trust Knowledge Graph

    • YaJun Du, Qiang Hu, XiaoLei Li, XiaoLiang Chen, ChenXing Li
    Pages 66-75

  9. Locality Preserving One-Class Support Vector Machine

    • Xiaoming Wang, Yong Tian, Xiaohuan Yang, Yajun Du
    Pages 76-85

  10. Locality Preserving Based K-Means Clustering

    • Xiaohuan Yang, Xiaoming Wang, Yong Tian, Yajun Du
    Pages 86-95

  11. Auroral Oval Boundary Modeling Based on Deep Learning Method

    • Bing Han, Xinbo Gao, Hui Liu, Ping Wang
    Pages 96-106

  12. Study on Prediction Method of Quality Uncertainty in the Textile Processing Based on Data

    • Jingfeng Shao, Jinfu Wang, Xiaobo Bai, Yong Liu, Congying Liu, Xiaohong Ma
    Pages 107-115

  13. Verification of Hibernate Query Language by Abstract Interpretation

    • Angshuman Jana, Raju Halder, Agostino Cortesi
    Pages 116-128

  14. An Efficient MapReduce Framework for Intel MIC Cluster

    • Wenzhu Wang, Qingbo Wu, Yusong Tan, Yaoxue Zhang
    Pages 129-139

  15. A Novel K-harmonic Means Clustering Based on Enhanced Firefly Algorithm

    • Zhiping Zhou, Shuwei Zhu, Daowen Zhang
    Pages 140-149

  16. A Feature Selection Method Based on Feature Grouping and Genetic Algorithm

    • Xiaohui Lin, Xiaomei Wang, Niyi Xiao, Xin Huang, Jue Wang
    Pages 150-158

  17. Tuning GSP Parameters with GA

    • Wei Chi Cheng, Ping Yu Hsu, Ming Shien Cheng, Shih Hsiang Huang
    Pages 159-170

  18. Event Recovery by Faster Truncated Nuclear Norm Minimization

    • Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He
    Pages 171-180

  19. Detecting Fake Review with Rumor Model—Case Study in Hotel Review

    • Tien Chang, Ping Yu Hsu, Ming Shien Cheng, Chen Yao Chung, Yi Liang Chung
    Pages 181-192

  20. Dynamic Multi-relational Networks Integration and Extended Link Prediction Method

    • Hong Wang, Yanshen Sun
    Pages 193-203
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Other volumes

  1. Intelligence Science and Big Data Engineering. Image and Video Data Engineering

  2. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Reviews

       

Editors and Affiliations

  • Zhejiang University, Hangzhou, China

    Xiaofei He

  • Xidian University, Xi'an, China

    Xinbo Gao

  • Northwestern Polytechnical University, Xi'an, China

    Yanning Zhang

  • Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  • Chinese Academy of Sciences, Beijing, China

    Zhi-Yong Liu

  • Suzhou University of Science and Technology, Suzhou, China

    Baochuan Fu

  • Suzhou University of Science and Technology, Jiangsu, China

    Fuyuan Hu, Zhancheng Zhang

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