Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

1. Front Matter

   Pages i-xxv

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2. Knowledge Discovery Foundations: Association Rules

   1. Front Matter

      Pages 1-1

      PDF

   2. Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs

      • CaiXia Qin, MingXue Liao, YuanYuan Liang, ChangWen Zheng

      Pages 3-13

   3. An Efficient Algorithm to Mine High Average-Utility Sequential Patterns

      • Tiantian Xu

      Pages 14-22

   4. HPM-FSI: A High-Performance Algorithm for Mining Frequent Significance Itemsets

      • Huan Phan, Bac Le

      Pages 23-33

3. Knowledge Discovery Foundations: Classification

   1. Front Matter

      Pages 35-35

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   2. Bayesian Face Recognition Approach Based on Feature Fusion

      • Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu et al.

      Pages 37-45

   3. Predictive Model for Brazilian Presidential Election Based on Analysis of Social Media

      • Guilherme Silva, Mirele Costa, André Drummond, Li Weigang

      Pages 46-53

   4. On Back-Propagation Network to Early Judgment of Seismic Sequences

      • Anxu Wu

      Pages 54-60

   5. Privacy-Protected KNN Classification Algorithm Based on Negative Database

      • Hucheng Liao, Yu Chen, Shihu Bu, Mingkun Zhang

      Pages 61-68

   6. TruRec: An Improved Trust-Based Recommendation in Cross-Domain

      • Wanrong Gu, Xianfen Xie, Ziye Zhang, Yichen He, Yijun Mao, Hailiang Li et al.

      Pages 69-76

4. Knowledge Discovery Foundations: Clustering

   1. Front Matter

      Pages 77-77

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   2. Knowledge Matching in Horizontal Collaborative Fuzzy Clustering

      • Longshu Liu, Fusheng Yu, Fangyang Wang

      Pages 79-88

   3. KNN-Based Pseudo-supervised RCNN Framework for Text Clustering

      • Zhi Chen, Wu Guo

      Pages 89-97

   4. Clustering Optimization and Evaluation of Campus Network User Behavior Analysis System

      • Hong Jiang, Qingsong Yu, Yingying Xu

      Pages 98-104

   5. Minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent

      • Xiaobin Zhi, Longtao Bi

      Pages 105-112

5. Knowledge Discovery Foundations: Knowledge Management

   1. Front Matter

      Pages 113-113

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   2. Semantic Knowledge Sharing Mechanism Based on Blockchain

      • Botao Zhang, Xingzhou Li, Hui Ren, Jinguang Gu

      Pages 115-127

   3. Semantic Retrieval Based on User Intention Recognition in Engineering Domain

      • Ling Ge, Boshen Ding

      Pages 128-138

   4. Path-Based Knowledge Graph Completion Combining Reinforcement Learning with Soft Rules

      • Wenting Yu, Xiangnan Ma, Luyi Bai

      Pages 139-146

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

• Natural Computation
• Fuzzy Systems
• Knowledge Discovery
• ICNC-FSKD
• ICNC-FSKD 2019

• The University of Aizu, Aizuwakamatsu, Japan

  Yong Liu

• School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

  Lipo Wang

• Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

  Liang Zhao

• School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

  Zhengtao Yu

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