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Advances in Knowledge Discovery and Data Mining

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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Dinh Phung

    1. Deakin University, Geelong, Australia

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  2. Vincent S. Tseng

    1. National Chiao Tung University, Hsinchu City, Taiwan

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  3. Geoffrey I. Webb

    1. Monash University, Clayton, Australia

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  4. Bao Ho

    1. Japan Advanced Institute of Science and Technology, Nomi, Japan

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  5. Mohadeseh Ganji

    1. University of Melbourne, Melbourne, Australia

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  6. Lida Rashidi

    1. University of Melbourne, Melbourne, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10938)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2018.

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Table of contents (46 papers)

  1. Front Matter

    Pages I-XXVII
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  2. Graphical Models, Latent Variables and Statistical Methods

    1. Front Matter

      Pages 1-1
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    2. Probabilistic Topic and Role Model for Information Diffusion in Social Network

      • Hengpeng Xu, Jinmao Wei, Zhenglu Yang, Jianhua Ruan, Jun Wang
      Pages 3-15

    3. Topic-Sensitive Influential Paper Discovery in Citation Network

      • Xin Huang, Chang-an Chen, Changhuan Peng, Xudong Wu, Luoyi Fu, Xinbing Wang
      Pages 16-28

    4. Course-Specific Markovian Models for Grade Prediction

      • Qian Hu, Huzefa Rangwala
      Pages 29-41

    5. A Temporal Topic Model for Noisy Mediums

      • Rob Churchill, Lisa Singh, Christo Kirov
      Pages 42-53

    6. A CRF-Based Stacking Model with Meta-features for Named Entity Recognition

      • Shifeng Liu, Yifang Sun, Wei Wang, Xiaoling Zhou
      Pages 54-66

    7. Adding Missing Words to Regular Expressions

      • Thomas Rebele, Katerina Tzompanaki, Fabian M. Suchanek
      Pages 67-79

    8. Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling

      • Gianni Costa, Riccardo Ortale
      Pages 80-91

    9. Text Generation Based on Generative Adversarial Nets with Latent Variables

      • Heng Wang, Zengchang Qin, Tao Wan
      Pages 92-103

    10. GEMINIO: Finding Duplicates in a Question Haystack

      • Sandya Mannarswamy, Saravanan Chidambaram
      Pages 104-114

    11. Fast Converging Multi-armed Bandit Optimization Using Probabilistic Graphical Model

      • Chen Zhao, Kohei Watanabe, Bin Yang, Yu Hirate
      Pages 115-127

    12. Leveraging Label Category Relationships in Multi-class Crowdsourcing

      • Yuan Jin, Lan Du, Ye Zhu, Mark Carman
      Pages 128-140

    13. Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules

      • Mengya Wang, Erhu Rong, Hankui Zhuo, Huiling Zhu
      Pages 141-153

  3. Representation Learning and Embedding

    1. Front Matter

      Pages 155-155
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    2. SIGNet: Scalable Embeddings for Signed Networks

      • Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
      Pages 157-169

    3. Sub2Vec: Feature Learning for Subgraphs

      • Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
      Pages 170-182

    4. Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges

      • Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
      Pages 183-195

    5. MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding

      • Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
      Pages 196-208

    6. Multi-network User Identification via Graph-Aware Embedding

      • Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang
      Pages 209-221
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

  4. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

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

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