Lecture Notes in Artificial Intelligence
cover

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V

Editors: Dong, Y., Ifrim, G., Mladenić, D., Saunders, C., Van Hoecke, S. (Eds.)

Buy this book

eBook $79.99
price for USA in USD
  • ISBN 978-3-030-67670-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-67669-8
  • 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
About this book

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings.

The volumes are organized in topical sections as follows:

Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.

Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.

Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.

Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.

Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

 

 

Table of contents (41 chapters)

Table of contents (41 chapters)
  • Confound Removal and Normalization in Practice: A Neuroimaging Based Sex Prediction Case Study

    Pages 3-18

    More, Shammi (et al.)

  • Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach

    Pages 19-35

    Weeraddana, Dilusha (et al.)

  • Reconstructing the Past: Applying Deep Learning to Reconstruct Pottery from Thousands Shards

    Pages 36-51

    Kim, Keeyoung (et al.)

  • CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods’ Spatiotemporal Dependencies

    Pages 52-67

    Sun, Jiao (et al.)

  • PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data

    Pages 68-84

    Fajri, Ricky Maulana (et al.)

Buy this book

eBook $79.99
price for USA in USD
  • ISBN 978-3-030-67670-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-67669-8
  • 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
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
Book Subtitle
European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V
Editors
  • Yuxiao Dong
  • Georgiana Ifrim
  • Dunja Mladenić
  • Craig Saunders
  • Sofie Van Hoecke
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
12461
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-67670-4
DOI
10.1007/978-3-030-67670-4
Softcover ISBN
978-3-030-67669-8
Edition Number
1
Number of Pages
XLII, 577
Number of Illustrations
24 b/w illustrations, 181 illustrations in colour
Topics