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Communications in Computer and Information Science

Machine Learning and Knowledge Discovery in Databases

International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

Editors: Cellier, Peggy, Driessens, Kurt (Eds.)

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About this book

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. 
The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019;  Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. 

Table of contents (64 chapters)

Table of contents (64 chapters)
  • District Heating Substation Behaviour Modelling for Annotating the Performance

    Pages 3-11

    Abghari, Shahrooz (et al.)

  • Modeling Evolving User Behavior via Sequential Clustering

    Pages 12-20

    Boeva, Veselka (et al.)

  • Recognizing User’s Activity and Transport Mode Detection: Maintaining Low-Power Consumption

    Pages 21-37

    Muharemi, Fitore (et al.)

  • Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study

    Pages 38-53

    Agarwal, Amit (et al.)

  • Towards Sensing and Sharing Auditory Context Information Using Wearable Device

    Pages 54-59

    Sashima, Akio (et al.)

Buy this book

eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-030-43887-6
  • 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 978-3-030-43886-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Knowledge Discovery in Databases
Book Subtitle
International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Editors
  • Peggy Cellier
  • Kurt Driessens
Series Title
Communications in Computer and Information Science
Series Volume
1168
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-43887-6
DOI
10.1007/978-3-030-43887-6
Softcover ISBN
978-3-030-43886-9
Series ISSN
1865-0929
Edition Number
1
Number of Pages
XIX, 745
Number of Illustrations
71 b/w illustrations, 169 illustrations in colour
Topics

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