1.

Record Nr.

UNISA996466244703316

Titolo

Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II / / edited by Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-46227-X

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XXVIII, 825 p. 205 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 9852

Disciplina

006.31

Soggetti

Data mining

Artificial intelligence

Pattern recognition

Information storage and retrieval

Database management

Application software

Data Mining and Knowledge Discovery

Artificial Intelligence

Pattern Recognition

Information Storage and Retrieval

Database Management

Information Systems Applications (incl. Internet)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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. .

Sommario/riassunto

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.