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Machine learning and knowledge disco...

ECML PKDD (Conference) ((2018 :)

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Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings.. Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databases/ edited by Michele Berlingerio ... [et al.].
其他題名:	European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings.
其他題名:	ECML PKDD 2018
其他作者:	Berlingerio, Michele.
團體作者:	ECML PKDD (Conference)
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xxx, 866 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-10928-8
ISBN:	9783030109288

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings.. Part II /
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings.Part II /[electronic resource] :ECML PKDD 2018edited by Michele Berlingerio ... [et al.]. - Cham :Springer International Publishing :2019. - xxx, 866 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,110520302-9743;. - Lecture notes in computer science ;11052..

The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

ISBN: 9783030109288

Standard No.: 10.1007/978-3-030-10928-8doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings.. Part II /
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