Machine Learning and Knowledge Discovery in Databases -

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
Buch | Softcover
XXVIII, 825 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-46226-4 (ISBN)
106,99 inkl. MwSt

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.

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. 

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XXVIII, 825 p. 205 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Applications • Artificial Intelligence • Big Data • classification • Clustering • Computer Science • conference proceedings • Data Mining • data mining and knowledge discovery • enterprise applications • Expert systems / knowledge-based systems • graph mining • Informatics • information system • large scale learning • Learning Paradigms • machine learning • pattern mining • Probabilistic Models • Recommender Systems • Research • sequence mining • Social Media Analysis • Statistical Methods • supervised learning • Unsupervised Learning
ISBN-10 3-319-46226-1 / 3319462261
ISBN-13 978-3-319-46226-4 / 9783319462264
Zustand Neuware
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