Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, 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: 9783319462271
Publisher: Springer International Publishing Publication: September 3, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319462271
Publisher: Springer International Publishing
Publication: September 3, 2016
Imprint: Springer
Language: English

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

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

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

More books from Springer International Publishing

Cover of the book Nurse Educator's Guide to Best Teaching Practice by
Cover of the book Central Banking and Financial Stability in East Asia by
Cover of the book Treatment versus Punishment for Drug Addiction by
Cover of the book Emerging Resistive Switching Memories by
Cover of the book Physics of Quantum Rings by
Cover of the book Capitalising Economic Power in the US by
Cover of the book Coastal Morphodynamics by
Cover of the book Re-Thinking Time at the Interface of Physics and Philosophy by
Cover of the book Human and Machine Learning by
Cover of the book Security Issues in Mobile NFC Devices by
Cover of the book Large-Scale Graph Processing Using Apache Giraph by
Cover of the book Problems in Classical and Quantum Mechanics by
Cover of the book A Parametric Approach to Nonparametric Statistics by
Cover of the book Intelligent Human Computer Interaction by
Cover of the book New Prospects in Geotechnical Engineering Aspects of Civil Infrastructures 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