2015, ISBN: 9783319210230
*Machine Learning and Data Mining in Pattern Recognition* - 11th International Conference MLDM 2015 Hamburg Germany July 20-21 2015 Proceedings. Auflage 2015 / Taschenbuch für 53.49 € / A… Mehr…
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Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings - Taschenbuch
2015, ISBN: 9783319210230
Paperback / softback. New. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different … Mehr…
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ISBN: 9783319210230
Paperback, [PU: Springer International Publishing AG], The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining… Mehr…
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2015, ISBN: 9783319210230
Springer, 2015. Paperback. New. 2015 edition. 422 pages. 9.25x6.10x0.73 inches., Springer, 2015, 6
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2015, ISBN: 9783319210230
Springer . Papeback. New. pp. 454, Springer, 6
| Biblio.co.uk |
2015, ISBN: 9783319210230
*Machine Learning and Data Mining in Pattern Recognition* - 11th International Conference MLDM 2015 Hamburg Germany July 20-21 2015 Proceedings. Auflage 2015 / Taschenbuch für 53.49 € / A… Mehr…
Petra Perner:
Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings - Taschenbuch2015, ISBN: 9783319210230
Paperback / softback. New. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different … Mehr…
ISBN: 9783319210230
Paperback, [PU: Springer International Publishing AG], The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining… Mehr…
2015, ISBN: 9783319210230
Springer, 2015. Paperback. New. 2015 edition. 422 pages. 9.25x6.10x0.73 inches., Springer, 2015, 6
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Detailangaben zum Buch - Machine Learning and Data Mining in Pattern Recognition
EAN (ISBN-13): 9783319210230
ISBN (ISBN-10): 3319210238
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Springer International Publishing
Buch in der Datenbank seit 2015-07-29T08:53:36+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-30T13:39:46+01:00 (Berlin)
ISBN/EAN: 9783319210230
ISBN - alternative Schreibweisen:
3-319-21023-8, 978-3-319-21023-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: petra pau, july, perner
Titel des Buches: learning from data, pattern recognition and machine learning, mining, hamburg, germany, lecture notes computer science, pattern book
Daten vom Verlag:
Autor/in: Petra Perner
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings
Verlag: Springer; Springer International Publishing
454 Seiten
Erscheinungsjahr: 2015-07-13
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
IX, 454 p. 132 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Association rule mining; Bayesian network; Biclustering; Big data; Bioinformatics; Data cloud geometry; Data mining; Ensemble method; Genetic algorithms; Image mining; Knowledge discovery in databases; Machine learning; Ontology; Recommendation; Robust statistics; Semi-supervised learning; Social network analysis; Support vector machines; Uncertainty; Visualization; Data Mining and Knowledge Discovery; Automated Pattern Recognition; Algorithms; Computer and Information Systems Applications; Database Management; Artificial Intelligence; Wissensbasierte Systeme, Expertensysteme; Mustererkennung; Algorithmen und Datenstrukturen; Angewandte Informatik; Datenbanken; Künstliche Intelligenz; EA
Graph Mining.- Classification and regression.- Sentiment analysis.- Data preparation and missing values.- Association and sequential rule mining.- Support vector machines.- Frequent item set mining and time series analysis.- Clustering.- Text mining.- Applications data mining.Up-to-date results Fast track conference proceedings State-of-the-art report Includes supplementary material: sn.pub/extras
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