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Data Mining / Special Issue in Annals of Information Systems / Robert Stahlbock (u. a.) / Taschenbuch / xiii / Englisch / 2009 / Springer US / EAN 9781441912794 - Taschenbuch
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2008, ISBN: 9781441912794
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including compute… Mehr…
Stahlbock, Robert:
Data Mining / Special Issue in Annals of Information Systems / Robert Stahlbock (u. a.) / Taschenbuch / xiii / Englisch / 2009 / Springer US / EAN 9781441912794 - Taschenbuch2009, ISBN: 9781441912794
[ED: Taschenbuch], [PU: Springer US], Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from… Mehr…
2010
ISBN: 1441912797
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including compute… Mehr…
2008, ISBN: 9781441912794
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including compute… Mehr…
2010, ISBN: 9781441912794
*Data Mining: Special Issue in Annals of Information Systems* - Special Issue in Annals of Information Systems. Auflage 2010 / Taschenbuch für 160.49 € / Aus dem Bereich: Bücher, Wissensc… Mehr…
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Detailangaben zum Buch - Data Mining: Special Issue in Annals of Information Systems
EAN (ISBN-13): 9781441912794
ISBN (ISBN-10): 1441912797
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: SPRINGER NATURE
348 Seiten
Gewicht: 0,602 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2009-05-07T20:45:54+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-01-26T15:32:34+01:00 (Vienna)
ISBN/EAN: 9781441912794
ISBN - alternative Schreibweisen:
1-4419-1279-7, 978-1-4419-1279-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: crone, leßmann, robert lessmann, stefan
Titel des Buches: data mining, special issue 1970 1980
Daten vom Verlag:
Autor/in: Robert Stahlbock; Sven F. Crone; Stefan Lessmann
Titel: Annals of Information Systems; Data Mining - Special Issue in Annals of Information Systems
Verlag: Springer; Springer US
387 Seiten
Erscheinungsjahr: 2009-11-23
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Gewicht: 1,250 kg
Sprache: Englisch
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XIII, 387 p.
BC; Data Mining and Knowledge Discovery; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Business Intelligence; Text Mining; classification; data analysis; data mining; knowledge discovery; statistics; Engineering Economics; Operations Research/Decision Theory; Business and Management, general; Information Systems Applications (incl. Internet); Engineering Economics, Organization, Logistics, Marketing; Statistics for Business, Management, Economics, Finance, Insurance; Data Mining and Knowledge Discovery; Operations Research and Decision Theory; Business and Management; Computer and Information Systems Applications; Industrial Management; Statistics in Business, Management, Economics, Finance, Insurance; Wissensbasierte Systeme, Expertensysteme; Unternehmensforschung; Management: Entscheidungstheorie; Betriebswirtschaft und Management; Angewandte Informatik; Ingenieurswesen, Maschinenbau allgemein; Management und Managementtechniken; Wahrscheinlichkeitsrechnung und Statistik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; EA
Data Mining and Information Systems: Quo Vadis?.- Confirmatory data analysis.- Response-Based Segmentation Using Finite Mixture Partial Least Squares.- Knowledge discovery from supervised learning.- Building Acceptable Classification Models.- Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property.- Classification Techniques and Error Control in Logic Mining.- Classification analysis.- An Extended Study of the Discriminant Random Forest.- Prediction with the SVM Using Test Point Margins.- Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.- The Impact of Small Disjuncts on Classifier Learning.- Hybrid data mining procedures.- Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile.- PCA-based Time Series Similarity Search.- Evolutionary Optimization of Least-Squares Support Vector Machines.- Genetically Evolved kNN Ensembles.- Web-mining.- Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems.- Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis.- Privacy-preserving data mining.- Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model.- Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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9781601324313 Data Mining (Gary M. Weiss; Robert Stahlbock; Mahmoud Abou-Nasr; Hamid R. Arabnia; Peter Geezy)
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