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Can I read Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II (Lecture Notes in Computer Science, 9852) on EtoBox?

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II (Lecture Notes in Computer Science, 9852) by Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.) is a nonfiction available to read on EtoBox.

What is Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II (Lecture Notes in Computer Science, 9852) about?

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.

Who reads Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II (Lecture Notes in Computer Science, 9852)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.)
Publisher
Springer International Publishing : Imprint Springer, Springer International Publishing, Imprint Springer
Published
2016
Language
EN
ISBN
9783319462264
Category
nonfiction
Subjects
Mathematics, Computer Science, Management

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