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  • © 2018

Advances in Knowledge Discovery and Data Mining

22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10937)

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

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 2018.

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Table of contents (54 papers)

  1. Front Matter

    Pages I-XXVII
  2. Classification and Supervised Machine Learning

    1. Front Matter

      Pages 1-1
    2. Social Stream Classification with Emerging New Labels

      • Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
      Pages 16-28
    3. Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules

      • Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 29-42
    4. Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective

      • Anusha Kasinikota, P. Balamurugan, Shirish Shevade
      Pages 43-55
    5. Sentiment Classification Using Neural Networks with Sentiment Centroids

      • Maoquan Wang, Shiyun Chen, Liang He
      Pages 56-67
    6. Random Pairwise Shapelets Forest

      • Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu
      Pages 68-80
    7. A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm

      • Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang
      Pages 81-93
    8. Classification with Reject Option Using Conformal Prediction

      • Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
      Pages 94-105
    9. Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation

      • Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
      Pages 118-129
    10. Data Mining with Algorithmic Transparency

      • Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu
      Pages 130-142
    11. Cost-Sensitive Reference Pair Encoding for Multi-Label Learning

      • Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
      Pages 143-155
    12. Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition

      • Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah
      Pages 156-168
    13. Heterogeneous Domain Adaptation Based on Class Decomposition Schemes

      • Firat Ismailoglu, Evgueni Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins
      Pages 169-182
    14. A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism

      • Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang
      Pages 183-195
    15. \(\varepsilon \)-Distance Weighted Support Vector Regression

      • Ge Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill
      Pages 209-220
  3. Healthcare, BioInformatics and Related Topics (Application)

    1. Front Matter

      Pages 221-221

About this book

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

 


Editors and Affiliations

  • Deakin University, Geelong, Australia

    Dinh Phung

  • National Chiao Tung University, Hsinchu City, Taiwan

    Vincent S. Tseng

  • Monash University, Clayton, Australia

    Geoffrey I. Webb

  • Japan Advanced Institute of Science and Technology, Nomi, Japan

    Bao Ho

  • University of Melbourne, Melbourne, Australia

    Mohadeseh Ganji, Lida Rashidi

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access