Studies in Computational Intelligence

Complex Pattern Mining

New Challenges, Methods and Applications

Editors: Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W. (Eds.)

Free Preview
  • Presents recent research in complex pattern mining
  • Includes revised selected papers presented at the workshops on "New Frontiers in Mining Complex Patterns”
  • Presents new challenges, methods and applications
see more benefits

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-030-36617-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-36616-2
  • 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
Softcover $119.99
price for USA in USD
  • ISBN 978-3-030-36619-3
  • 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

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • Efficient Infrequent Pattern Mining Using Negative Itemset Tree

    Pages 1-16

    Lu, Yifeng (et al.)

  • Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis

    Pages 17-32

    Xu, Zhao (et al.)

  • Optimizing C-Index via Gradient Boosting in Medical Survival Analysis

    Pages 33-45

    Wieczorkowska, Alicja (et al.)

  • Order-Preserving Biclustering Based on FCA and Pattern Structures

    Pages 47-62

    Juniarta, Nyoman (et al.)

  • A Text-Based Regression Approach to Predict Bug-Fix Time

    Pages 63-83

    Ardimento, Pasquale (et al.)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-030-36617-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-36616-2
  • 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
Softcover $119.99
price for USA in USD
  • ISBN 978-3-030-36619-3
  • 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...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Complex Pattern Mining
Book Subtitle
New Challenges, Methods and Applications
Editors
  • Annalisa Appice
  • MIchelangelo Ceci
  • Corrado Loglisci
  • Giuseppe Manco
  • Elio Masciari
  • Zbigniew W. Ras
Series Title
Studies in Computational Intelligence
Series Volume
880
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-36617-9
DOI
10.1007/978-3-030-36617-9
Hardcover ISBN
978-3-030-36616-2
Softcover ISBN
978-3-030-36619-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 250
Number of Illustrations
30 b/w illustrations, 47 illustrations in colour
Topics