Trends and Applications in Knowledge Discovery and Data Mining

1. Front Matter

   Pages i-xiii

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2. The 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019)

   1. Front Matter

      Pages 1-1

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   2. A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045

      • Da Bao, Yuichi Goto, Jingde Cheng

      Pages 3-14

   3. An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks

      • Darshika Koggalahewa, Yue Xu

      Pages 15-27

   4. A Cluster Ensemble Strategy for Asian Handicap Betting

      • Yue Chen, Jian Shi

      Pages 28-37

   5. Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example

      • Chun-Young Chang, Lin-Chien Chien, Yuh-Shyan Hwang

      Pages 38-44

   6. Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory

      • Koya Sato, Mizuki Oka, Kazuhiko Kato

      Pages 45-56

3. PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019)

   1. Front Matter

      Pages 57-57

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   2. Weakly Supervised Learning by a Confusion Matrix of Contexts

      • William Wu

      Pages 59-64

   3. Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search

      • Sadaqat ur Rehman, Yongfeng Huang, Shanshan Tu, Basharat Ahmad

      Pages 65-76

   4. Adversarial Active Learning in the Presence of Weak and Malicious Oracles

      • Yan Zhou, Murat Kantarcioglu, Bowei Xi

      Pages 77-89

   5. The Most Related Knowledge First: A Progressive Domain Adaptation Method

      • Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue

      Pages 90-102

4. Learning Data Representation for Clustering (LDRC 2019)

   1. Front Matter

      Pages 103-103

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   2. Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps

      • Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

      Pages 105-116

   3. Deep Cascade of Extra Trees

      • Abdelkader Berrouachedi, Rakia Jaziri, Gilles Bernard

      Pages 117-129

   4. Algorithms for an Efficient Tensor Biclustering

      • Dina Faneva Andriantsiory, Mustapha Lebbah, Hanane Azzag, Gael Beck

      Pages 130-138

   5. Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach

      • Allou Samé, Milad Leyli-Abadi

      Pages 139-150

5. The 8th Workshop on Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019)

   1. Front Matter

      Pages 151-151

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   2. Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification

      • Tinglin Huang, Yulin He, Dexin Dai, Wenting Wang, Joshua Zhexue Huang

      Pages 153-163

   3. Protein Complexes Detection Based on Deep Neural Network

      • Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu

      Pages 164-178

This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019.

The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops:

·         PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics

·         WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future

·         LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering

·         BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining

·         DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer

• artificial intelligence
• behavioral research
• classification
• clustering
• clustering algorithms
• databases
• image processing
• image reconstruction
• image segmentation
• internet
• Natural Language Processing (NLP)
• neural networks
• optical character recognition
• semantics
• signal detection
• signal processing
• social networking
• social networks
• user behaviors
• World Wide Web

• University of Macau, Macao, China

  Leong Hou U.

• Singapore Management University, Singapore, Singapore

  Hady W. Lauw

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