Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2014
Genre:	Wirtschaft / Recht
	B / Business and Management / Business applications / Business—Data processing / Data Mining / Data Mining and Knowledge Discovery / Decision Making / Expert systems / knowledge-based systems / Information Technology / IT in Business / Management decision making / Management science / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory mehr...
ISBN:	9783319078113
EAN-Code:	9783319078113
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#17 - Annals of Information Systems
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6555 gr
Seiten:	418
Illustration:	XVI, 418 p. 144 illus., 96 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

IntroductionMahmoud Abou-Nasr, Stefan Lessmann. Robert Stahlbock, Gary M. Weiss What Data Scientists can Learn from HistoryAaron Lai On Line Mining of Cyclic Association Rules From Parallel Dimension HierarchiesEya Ben Ahmed, Ahlem Nabli, Fa?ez Gargouri PROFIT: A Projected Clustering TechniqueDharmveer Singh Rajput, Pramod Kumar Singh, Mahua Bhattacharya Multi-Label Classification with a Constrained Minimum Cut ModelGuangzhi Qu, Ishwar Sethi, Craig Hartrick, Hui Zhang On the Selection of Dimension Reduction Techniques for Scientific ApplicationsYa Ju Fan, Chandrika Kamath Relearning Process for SPRT in Structural Change Detection of Time-Series DataRyosuke Saga, Naoki Kaisaku, Hiroshi Tsuji K-means clustering on a classifier-induced representation space: application to customer contact personalizationVincent Lemaire, Fabrice Clerot, Nicolas Creff Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy PredictionBernardete Ribeiro, Ning Chen Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at MicrosoftBrendan Kitts, Jing Ying Zhang, Gang Wu, Wesley Brandi, Julien Beasley, Kieran Morrill, John Ettedgui, Sid Siddhartha, Hong Yuan, Feng Gao, Peter Azo, Raj Mahato A Novel Approach for Analysis of 'Real World' Data: A Data Mining Engine for Identification of Multi-author Student Document SubmissionKathryn Burn-Thornton, Tim Burman Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of RevenueKuo-Wei Hsu, Nishith Pathak, Jaideep Srivastava, Greg Tschida, Eric Bjorklund A nearest neighbor approach to build a readable risk score forbreast cancerEmilien Gauthier, Laurent Brisson, Philippe Lenca, Stephane Ragusa Machine Learning for Medical Examination Report ProcessingYinghao Huang, Yi Lu Murphey, Naeem Seliya, Roy B. Friedenthal Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics SimulationsClifton Mortensen, Steve Gorrell, Robert Woodley, Michael Gosnell A Data Mining Based Method for Discovery of Web Services and their CompositionsRichi Nayak, Aishwarya Bose Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural OptimizersMahmoud Abou-Nasr, John Michelini, Dimitar Filev Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning TechniquesCatherine Cheung, Julio J. Valdes, Matthew Li Multilayer Semantic Analysis In Image DatabasesIsmail El Sayad, Jean Martinet, Zhongfei (Mark) Zhang, Peter Eisert