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Advances in Knowledge Discovery and Data Mining

21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Jinho Kim

    1. Kangwon National University, Chuncheon, Korea (Republic of)

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  2. Kyuseok Shim

    1. Seoul National University, Seoul, Korea (Republic of)

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  3. Longbing Cao

    1. University of Technology Sydney, Sydney, Australia

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  4. Jae-Gil Lee

    1. KAIST, Daejeon, Korea (Republic of)

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  5. Xuemin Lin

    1. University of New South Wales, Sydney, Australia

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  6. Yang-Sae Moon

    1. Kangwon National University, Chuncheon, Korea (Republic of)

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10234)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2017.

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Table of contents (64 papers)

  1. Front Matter

    Pages I-XXXII
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  2. Classification and Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Convolutional Bi-directional LSTM for Detecting Inappropriate Query Suggestions in Web Search

      • Harish Yenala, Manoj Chinnakotla, Jay Goyal
      Pages 3-16

    3. A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs

      • Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
      Pages 17-29

    4. Deep Network Regularization via Bayesian Inference of Synaptic Connectivity

      • Harris Partaourides, Sotirios P. Chatzis
      Pages 30-41

    5. Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring

      • Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang et al.
      Pages 42-57

    6. A Classification Model for Diverse and Noisy Labelers

      • Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin
      Pages 58-69

    7. Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression

      • Sk Minhazul Islam, Arunvava Banerjee
      Pages 70-82

    8. A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry

      • Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo
      Pages 83-95

    9. Feature Ranking of Large, Robust, and Weighted Clustering Result

      • Mirka Saarela, Joonas Hämäläinen, Tommi Kärkkäinen
      Pages 96-109

    10. Purchase Signatures of Retail Customers

      • Clement Gautrais, René Quiniou, Peggy Cellier, Thomas Guyet, Alexandre Termier
      Pages 110-121

    11. Volatility Adaptive Classifier System

      • Ruolin Jia, Yun Sing Koh, Gillian Dobbie
      Pages 122-134

    12. Distributed Representations for Words on Tables

      • Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita
      Pages 135-146

    13. Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering

      • Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai
      Pages 147-159

    14. Predicting Destinations from Partial Trajectories Using Recurrent Neural Network

      • Yuki Endo, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada
      Pages 160-172

    15. Preventing Inadvertent Information Disclosures via Automatic Security Policies

      • Tanya Goyal, Sanket Mehta, Balaji Vasan Srinivasan
      Pages 173-185

    16. Personalized Deep Learning for Tag Recommendation

      • Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rego Drumond, Lars Schmidt-Thieme
      Pages 186-197

    17. Information-Theoretic Non-redundant Subspace Clustering

      • Nina Hubig, Claudia Plant
      Pages 198-209

    18. Cost Matters: A New Example-Dependent Cost-Sensitive Logistic Regression Model

      • Nikou Günnemann, Jürgen Pfeffer
      Pages 210-222

  3. Social Network and Graph Mining

    1. Front Matter

      Pages 223-223
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

About this book

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017.

The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Editors and Affiliations

  • Kangwon National University, Chuncheon, Korea (Republic of)

    Jinho Kim, Yang-Sae Moon

  • Seoul National University, Seoul, Korea (Republic of)

    Kyuseok Shim

  • University of Technology Sydney, Sydney, Australia

    Longbing Cao

  • KAIST, Daejeon, Korea (Republic of)

    Jae-Gil Lee

  • University of New South Wales, Sydney, Australia

    Xuemin Lin

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