Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III
1. Auflage 2016
ISBN: 978-3-319-46130-4
Verlag: Springer International Publishing

Buch, Englisch, 307 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 5037 g

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Berendt, Bettina

Bringmann, Björn

Fromont, Élisa

Tresp, Volker

Garriga, Gemma

Miettinen, Pauli

Tatti, Nikolaj

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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.