2015, ISBN: 3319234609

[EAN: 9783319234601], New book, [SC: 12.01], [PU: Springer International Publishing], DATA MINING (EDV); DATAMINING; FOUNDATIONSOFMACHINELEARNINGANDDATAMINING; KNOWLEDGEDISCOVERYINDATABAS… Mehr…

[EAN: 9783319234601], New book, [SC: 12.01], [PU: Springer International Publishing], DATA MINING (EDV); DATAMINING; FOUNDATIONSOFMACHINELEARNINGANDDATAMINING; KNOWLEDGEDISCOVERYINDATABASES; PROBABILISTICMODELSANDSTATISTICALMETHODS; SOCIALANDGRAPHSMINING; CLASSIFICATION,REGRESSIONANDSUPERVISEDLEARNING; CLUSTERINGANDUNSUPERVISEDLEARNING; DOMAINADAPTATION; ENSEMBLELEARNING; LARGESCALELEARNINGANDBIGDATA; LEARNINGPARADIGMS; MACHINELEARNINGANDDATAMININGAPPLICATIONS; MACHINELEARNINGMETHODOLOGIES; NONMONOTONICCONSTRAINTS; PATTERNANDSEQUENCEMINING; RECOMMENDERSYSTEMS; RICHDATAMINING; PROBABILISTICPROGRAMMING; META-LEARNING; PRIVACY-PRESERVINGDATAMINING, Druck auf Anfrage Neuware - Printed after ordering - The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015.The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track. 376 pp. Englisch, Books<

2015, ISBN: 3319234609

[EAN: 9783319234601], Neubuch, [SC: 0.0], [PU: Springer International Publishing], DATA MINING (EDV); DATAMINING; FOUNDATIONSOFMACHINELEARNINGANDDATAMINING; KNOWLEDGEDISCOVERYINDATABASES;… Mehr…

[EAN: 9783319234601], Neubuch, [SC: 0.0], [PU: Springer International Publishing], DATA MINING (EDV); DATAMINING; FOUNDATIONSOFMACHINELEARNINGANDDATAMINING; KNOWLEDGEDISCOVERYINDATABASES; PROBABILISTICMODELSANDSTATISTICALMETHODS; SOCIALANDGRAPHSMINING; CLASSIFICATION,REGRESSIONANDSUPERVISEDLEARNING; CLUSTERINGANDUNSUPERVISEDLEARNING; DOMAINADAPTATION; ENSEMBLELEARNING; LARGESCALELEARNINGANDBIGDATA; LEARNINGPARADIGMS; MACHINELEARNINGANDDATAMININGAPPLICATIONS; MACHINELEARNINGMETHODOLOGIES; META-LEARNING; NONMONOTONICCONSTRAINTS; PATTERNANDSEQUENCEMINING; PRIVACY-PRESERVINGDATAMINING; PROBABILISTICPROGRAMMING; RECOMMENDERSYSTEMS; RICHDATAMINING, Druck auf Anfrage Neuware -The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015.The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track. 376 pp. Englisch, Books<

2015, ISBN: 9783319234601

[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European… Mehr…

[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015.The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track. 1st ed. 2015. 2015. xxx, 345 S. XXX, 345 p. 122 illus. 235 mm Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

2015, ISBN: 3319234609

1st ed. 2015 Kartoniert / Broschiert Data Mining (EDV), Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Künstliche I… Mehr…

1st ed. 2015 Kartoniert / Broschiert Data Mining (EDV), Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Künstliche Intelligenz, Mustererkennung, datamining; foundationsofmachinelearninganddatamining; KnowledgeDiscoveryinDatabases; probabilisticmodelsandstatisticalmethods; socialandgraphsmining; classification,regressionandsupervisedlearning; clusteringandunsupervisedlearning; DomainAdaptation; ensemblelearning; largescalelearningandbigdata; learningparadigms; machinelearninganddataminingapplications; MachineLearningMethodologies; nonmonotonicconstraints; patternandsequencemining; recommendersystems; richdatamining; probabilisticprogramming; Meta-learning; Privacy-preservingdatamining, mit Schutzumschlag 11, [PU:Springer International Publishing; Springer International Publishing AG]<

2015, ISBN: 3319234609

1st ed. 2015 Kartoniert / Broschiert Data Mining (EDV), Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Künstliche I… Mehr…

1st ed. 2015 Kartoniert / Broschiert Data Mining (EDV), Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, Künstliche Intelligenz, Mustererkennung, datamining; foundationsofmachinelearninganddatamining; KnowledgeDiscoveryinDatabases; probabilisticmodelsandstatisticalmethods; socialandgraphsmining; classification,regressionandsupervisedlearning; clusteringandunsupervisedlearning; DomainAdaptation; ensemblelearning; largescalelearningandbigdata; learningparadigms; machinelearninganddataminingapplications; MachineLearningMethodologies; Meta-learning; nonmonotonicconstraints; patternandsequencemining; Privacy-preservingdatamining; probabilisticprogramming; recommendersystems; richdatamining, mit Schutzumschlag 11, [PU:Springer International Publishing]<