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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

  • Dinh Phung
  • Vincent S. Tseng
  • Geoffrey I. Webb
  • Bao Ho
  • Mohadeseh Ganji
  • Lida Rashidi
Conference proceedings PAKDD 2018

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10937)

Table of contents

  1. Front Matter
    Pages I-XXVII
    PDF

  2. Classification and Supervised Machine Learning

    1. Front Matter
      Pages 1-1
      PDF
    2. Classifier Risk Estimation Under Limited Labeling Resources
      Anurag Kumar, Bhiksha Raj
      Pages 3-15
    3. Social Stream Classification with Emerging New Labels
      Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
      Pages 16-28
    4. Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules
      Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 29-42
    5. Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective
      Anusha Kasinikota, P. Balamurugan, Shirish Shevade
      Pages 43-55
    6. Sentiment Classification Using Neural Networks with Sentiment Centroids
      Maoquan Wang, Shiyun Chen, Liang He
      Pages 56-67
    7. Random Pairwise Shapelets Forest
      Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu
      Pages 68-80
    8. A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm
      Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang
      Pages 81-93
    9. Classification with Reject Option Using Conformal Prediction
      Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
      Pages 94-105
    10. Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data
      Limin Wang, Shenglei Chen, Musa Mammadov
      Pages 106-117
    11. Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation
      Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
      Pages 118-129
    12. Data Mining with Algorithmic Transparency
      Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu
      Pages 130-142
    13. Cost-Sensitive Reference Pair Encoding for Multi-Label Learning
      Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
      Pages 143-155
    14. 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
    15. Heterogeneous Domain Adaptation Based on Class Decomposition Schemes
      Firat Ismailoglu, Evgueni Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins
      Pages 169-182
    16. 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
    17. Robust Semi-Supervised Learning on Multiple Networks with Noise
      Junting Ye, Leman Akoglu
      Pages 196-208
    18. \(\varepsilon \)-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
      PDF

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II
  3. Advances in Knowledge Discovery and Data Mining
    22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
  4. Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers

About these proceedings

Introduction

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.

 


Keywords

Artificial intelligence Classification Classification accuracy Clustering Computer crime Computer networks Data mining Data security Information retrieval Internet Learning algorithms Machine learning Natural language processing systems Neural networks Pattern recognition Semantics Signal processing Social networks Support Vector Machines

Editors and affiliations

  1. 1.Deakin UniversityGeelongAustralia
  2. 2.National Chiao Tung UniversityHsinchu CityTaiwan
  3. 3.Monash UniversityClaytonAustralia
  4. 4.Japan Advanced Institute of Science and TechnologyNomiJapan
  5. 5.University of MelbourneMelbourneAustralia
  6. 6.University of MelbourneMelbourneAustralia

Bibliographic information