2012, ISBN: 9783642334863
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held … Mehr…
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ISBN: 9783642334863
Computer Science; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Pattern Recognition; Discrete Mathematics in Computer Science; Probability and Statistics … Mehr…
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2012, ISBN: 9783642334863
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2012, ISBN: 9783642334863
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2012, ISBN: 9783642334863
European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]
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2012, ISBN: 9783642334863
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held … Mehr…
Peter A. Flach; Tijl De Bie; Nello Cristianini:
Machine Learning and Knowledge Discovery in Databases - neues BuchISBN: 9783642334863
Computer Science; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Pattern Recognition; Discrete Mathematics in Computer Science; Probability and Statistics … Mehr…
2012
ISBN: 9783642334863
European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, … Mehr…
2012, ISBN: 9783642334863
European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]
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Detailangaben zum Buch - Machine Learning and Knowledge Discovery in Databases
EAN (ISBN-13): 9783642334863
Erscheinungsjahr: 2012
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-04-18T23:01:19+02:00 (Zurich)
Detailseite zuletzt geändert am 2021-05-11T09:37:09+02:00 (Zurich)
ISBN/EAN: 9783642334863
ISBN - alternative Schreibweisen:
978-3-642-33486-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bie, nello cristianini, flach
Titel des Buches: machine learning, knowledge discovery databases
Daten vom Verlag:
Autor/in: Peter A. Flach; Tijl De Bie; Nello Cristianini
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II
Verlag: Springer; Springer Berlin
867 Seiten
Erscheinungsjahr: 2012-09-11
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXVI, 867 p. 245 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Data Mining; Verstehen; Bayesian network classifiers; data mining; hypergraphs; social media; tree search; C; Data Mining and Knowledge Discovery; Artificial Intelligence; Automated Pattern Recognition; Discrete Mathematics in Computer Science; Probability and Statistics in Computer Science; Information Storage and Retrieval; Computer Science; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Mustererkennung; Mathematik für Informatiker; Diskrete Mathematik; Wahrscheinlichkeitsrechnung und Statistik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BC
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.Fast track conference proceedings State of the art research Up to date results
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