Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Machine Learning and Knowledge Discovery in Databases by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319712734
Publisher: Springer International Publishing Publication: December 29, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319712734
Publisher: Springer International Publishing
Publication: December 29, 2017
Imprint: Springer
Language: English

The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. 

The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; nectar track; and demo track.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. 

The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; nectar track; and demo track.

More books from Springer International Publishing

Cover of the book Advances in Time Series Data Methods in Applied Economic Research by
Cover of the book Neutrino Astrophysics with the ANTARES Telescope by
Cover of the book Explaining European Identity Formation by
Cover of the book Computation, Cryptography, and Network Security by
Cover of the book After-School Programs to Promote Positive Youth Development by
Cover of the book The Future of the Postal Sector in a Digital World by
Cover of the book Never Split Tens! by
Cover of the book The MassGeneral Hospital for Children Adolescent Medicine Handbook by
Cover of the book Crowding Out Fiscal Stimulus by
Cover of the book Quantum Mechanics for Pedestrians 1: Fundamentals by
Cover of the book Searching for the Long-Duration Gamma-Ray Burst Progenitor by
Cover of the book Advances in Nature and Biologically Inspired Computing by
Cover of the book Stability of the Turnpike Phenomenon in Discrete-Time Optimal Control Problems by
Cover of the book Biomimetic and Biohybrid Systems by
Cover of the book Halogen Bonding II by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy