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  • Conference proceedings
  • © 2020

Advances in Knowledge Discovery and Data Mining

24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12085)

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 2020.

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Table of contents (68 papers)

  1. Front Matter

    Pages i-xxxviii
  2. Mining Sequential Data

    1. Front Matter

      Pages 1-1
    2. Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process

      • Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
      Pages 3-16
    3. PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams

      • Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
      Pages 17-30
    4. Tree-Miner: Mining Sequential Patterns from SP-Tree

      • Redwan Ahmed Rizvee, Mohammad Fahim Arefin, Chowdhury Farhan Ahmed
      Pages 44-56
    5. MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction

      • Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, Cesar Augusto F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
      Pages 57-68
  3. Mining Imbalanced Data

    1. Front Matter

      Pages 69-69
    2. A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data

      • Md. Eusha Kadir, Pritom Saha Akash, Sadia Sharmin, Amin Ahsan Ali, Mohammad Shoyaib
      Pages 71-83
    3. On the Performance of Oversampling Techniques for Class Imbalance Problems

      • Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
      Pages 84-96
  4. Association

    1. Front Matter

      Pages 97-97
    2. Mining Locally Trending High Utility Itemsets

      • Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda
      Pages 99-111
    3. Optimal Subgroup Discovery in Purely Numerical Data

      • Alexandre Millot, Rémy Cazabet, Jean-François Boulicaut
      Pages 112-124
  5. Privacy and Security

    1. Front Matter

      Pages 125-125
    2. Data-Free Adversarial Perturbations for Practical Black-Box Attack

      • Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
      Pages 127-138
    3. Secure and Accurate Two-Step Hash Encoding for Privacy-Preserving Record Linkage

      • Thilina Ranbaduge, Peter Christen, Rainer Schnell
      Pages 139-151
    4. Assessing Centrality Without Knowing Connections

      • Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague
      Pages 152-163
    5. Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection

      • Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier de Vel, Paul Montague, John Grundy et al.
      Pages 164-177
    6. TCN-ATT: A Non-recurrent Model for Sequence-Based Malware Detection

      • Junyao Huang, Chenhui Lu, Guolou Ping, Lin Sun, Xiaojun Ye
      Pages 178-190
    7. dK-Microaggregation: Anonymizing Graphs with Differential Privacy Guarantees

      • Masooma Iftikhar, Qing Wang, Yu Lin
      Pages 191-203

About this book

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present 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. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Editors and Affiliations

  • School of Information Systems, Singapore Management University, Singapore, Singapore

    Hady W. Lauw, Ee-Peng Lim

  • Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    Raymond Chi-Wing Wong

  • Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Alexandros Ntoulas

  • Institute of Data Science, National University of Singapore, Singapore, Singapore

    See-Kiong Ng

  • School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Sinno Jialin Pan

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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