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 Urban Morphology by
Cover of the book Sustainability in Remanufacturing Operations by
Cover of the book Pediatric Psychogenic Non-Epileptic Seizures by
Cover of the book Robotic Welding, Intelligence and Automation by
Cover of the book Landslide Science for a Safer Geoenvironment by
Cover of the book Alcoholic and Non-Alcoholic Fatty Liver Disease by
Cover of the book Research and Practical Issues of Enterprise Information Systems by
Cover of the book A Primer on Quantum Fluids by
Cover of the book Stochastic Models for Time Series by
Cover of the book Photographic and Descriptive Musculoskeletal Atlas of Bonobos by
Cover of the book The Life of José María Sobral by
Cover of the book Ted Honderich on Consciousness, Determinism, and Humanity by
Cover of the book Sinophone-Anglophone Cultural Duet by
Cover of the book Fractal Geometry and Stochastics V by
Cover of the book Handbook of Nonverbal Assessment 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