Machine Learning and Knowledge Discovery in Databases

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

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: 9783319712468
Publisher: Springer International Publishing Publication: December 29, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319712468
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 Dynamics of Civil Structures, Volume 2 by
Cover of the book Hayek: A Collaborative Biography by
Cover of the book The Making of Resistance by
Cover of the book Strangeness and Charge Symmetry Violation in Nucleon Structure by
Cover of the book Recentering Africa in International Relations by
Cover of the book Integration of AI and OR Techniques in Constraint Programming by
Cover of the book Renewable Energy and Sustainable Technologies for Building and Environmental Applications by
Cover of the book The Bulgarian-Byzantine Wars for Early Medieval Balkan Hegemony by
Cover of the book Advanced Video Coding Systems by
Cover of the book Deep Learning Classifiers with Memristive Networks by
Cover of the book Ideology, Regionalism, and Society in Caribbean History by
Cover of the book Employee Engagement in Media Management by
Cover of the book In situ Combined Electrochemical Techniques for Conducting Polymers by
Cover of the book Object-Oriented Technology by
Cover of the book Handbook of Satellite Orbits 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