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Knowledge Science, Engineering and Management

10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Gang Li

    1. Deakin University, Burwood, Australia

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  2. Yong Ge

    1. University of Arizona, Tucson, USA

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  3. Zili Zhang

    1. Southwest University, Chongqing, China

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  4. Zhi Jin

    1. Peking University, Beijing, China

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  5. Michael Blumenstein

    1. University of Technology Sydney, Sydney, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10412)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KSEM 2017.

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Table of contents (47 papers)

  1. Front Matter

    Pages I-XVII
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  2. Text Mining and Document Analysis

    1. Front Matter

      Pages 1-1
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    2. Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations

      • Yunchuan Chen, Ge Li, Zhi Jin
      Pages 3-15

    3. A Study of Distributed Semantic Representations for Automated Essay Scoring

      • Cancan Jin, Ben He, Jungang Xu
      Pages 16-28

    4. Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification

      • Yan Hu, Xiaofei Xu, Li Li
      Pages 29-41

    5. An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis

      • Mengxiao Jiang, Jianxiang Wang, Man Lan, Yuanbin Wu
      Pages 42-54

    6. A Hidden Astroturfing Detection Approach Base on Emotion Analysis

      • Tong Chen, Noora Hashim Alallaq, Wenjia Niu, Yingdi Wang, Xiaoxuan Bai, Jingjing Liu et al.
      Pages 55-66

    7. Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection

      • Huifang Ma, Yuying Xing, Shuang Wang, Miao Li
      Pages 67-75

  3. Formal Semantics and Fuzzy Logic

    1. Front Matter

      Pages 77-77
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    2. A Fuzzy Logic Based Policy Negotiation Model

      • Jieyu Zhan, Xudong Luo, Yuncheng Jiang, Wenjun Ma, Mukun Cao
      Pages 79-92

    3. f-\(\mathcal {ALC}\)(D)-LTL: A Fuzzy Spatio-Temporal Description Logic

      • Haitao Cheng, Zongmin Ma
      Pages 93-105

    4. R-Calculus for the Primitive Statements in Description Logic \(\mathcal{ALC}\)

      • Yuhui Wang, Cungen Cao, Yuefei Sui
      Pages 106-116

    5. A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model

      • Lu Wang, Weiwei Li, Xiuyi Jia, Bing Zhou
      Pages 117-128

    6. A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds

      • Degang Sun, Kun Yang, Zhixin Shi, Bin Lv
      Pages 129-136

  4. Knowledge Management

    1. Front Matter

      Pages 137-137
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    2. Analyzing Customer’s Product Preference Using Wireless Signals

      • Na Pang, Dali Zhu, Kaiwen Xue, Wenjing Rong, Yinlong Liu, Changhai Ou
      Pages 139-148

    3. Improved Knowledge Base Completion by the Path-Augmented TransR Model

      • Wenhao Huang, Ge Li, Zhi Jin
      Pages 149-159

    4. Balancing Between Cognitive and Semantic Acceptability of Arguments

      • Hiroyuki Kido, Keishi Okamoto
      Pages 160-173

    5. Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China

      • Xiao-Wei Ai, Tianming Hu, Gong-Ping Bi, Cheng-Feng Lei, Hui Xiong
      Pages 174-182

    6. Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures

      • Dali Zhu, Na Pang, Weimiao Feng, Muhmmad Al-Khiza’ay, Yuchen Ma
      Pages 183-194
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  1. Knowledge Science, Engineering and Management

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About this book

​This book constitutes the refereed proceedings of the 10th International Conference on Knowledge Science, Engineering and Management, KSEM 2017, held in Melbourne, Australia, in August 2017.

The 35 revised full papers and 12 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: text mining and document analysis; formal semantics and fuzzy logic; knowledge management; knowledge integration; knowledge retrieval; recommendation algorithms and systems; knowledge engineering; and knowledge representation and reasoning.

Editors and Affiliations

  • Deakin University, Burwood, Australia

    Gang Li

  • University of Arizona, Tucson, USA

    Yong Ge

  • Southwest University, Chongqing, China

    Zili Zhang

  • Peking University, Beijing, China

    Zhi Jin

  • University of Technology Sydney, Sydney, Australia

    Michael Blumenstein

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