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Lecture Notes in Artificial Intelligence

Advances in Knowledge Discovery and Data Mining

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

Editors: Lauw, H.W., Wong, R.C.-W., Ntoulas, A., Lim, E.-P., Ng, S.-K., Pan, S.J. (Eds.)

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  • ISBN 978-3-030-47436-2
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Softcover $129.99
price for USA in USD
  • ISBN 978-3-030-47435-5
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  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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.

Table of contents (68 chapters)

Table of contents (68 chapters)
  • Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process

    Pages 3-16

    Mendes, Andre (et al.)

  • PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams

    Pages 17-30

    Wu, Ocean (et al.)

  • Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints

    Pages 31-43

    Liu, Xuanming (et al.)

  • Tree-Miner: Mining Sequential Patterns from SP-Tree

    Pages 44-56

    Rizvee, Redwan Ahmed (et al.)

  • MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction

    Pages 57-68

    Srivastava, Ajitesh (et al.)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-030-47436-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.99
price for USA in USD
  • ISBN 978-3-030-47435-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Knowledge Discovery and Data Mining
Book Subtitle
24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II
Editors
  • Hady W. Lauw
  • Raymond Chi-Wing Wong
  • Alexandros Ntoulas
  • Ee-Peng Lim
  • See-Kiong Ng
  • Sinno Jialin Pan
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
12085
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-47436-2
DOI
10.1007/978-3-030-47436-2
Softcover ISBN
978-3-030-47435-5
Edition Number
1
Number of Pages
XXXVIII, 924
Number of Illustrations
261 b/w illustrations, 242 illustrations in colour
Topics