Machine Learning and Knowledge Discovery in Databases (inbunden)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
307
Utgivningsdatum
2016-09-03
Upplaga
1st ed. 2016
Förlag
Springer International Publishing AG
Medarbetare
Berendt, Bettina (ed.), Bringmann, Björn (ed.), Fromont, Elisa (ed.)
Illustratör/Fotograf
Bibliographie 119 schwarz-weiße Abbildungen
Illustrationer
119 Illustrations, black and white; XXII, 307 p. 119 illus.
Dimensioner
234 x 156 x 18 mm
Vikt
468 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319461304

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III

av Bettina Berendt, Bjrn Bringmann, Lisa Fromont, Gemma Garriga, Pauli Miettinen
Häftad,  Engelska, 2016-09-03
586
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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.
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Bettina Berendt, Bjrn Bringmann, Lisa Fromont, Gemma Garriga, Pauli Miettinen

Innehållsförteckning

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.

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