Edité par LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659916870 ISBN 13 : 9783659916878
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 65,49
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Ajouter au panierPaperback. Etat : Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.
Edité par Wit Pr/Computational Mechanics, 2005
ISBN 10 : 1845640373 ISBN 13 : 9781845640378
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 193,20
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Ajouter au panierHardcover. Etat : Brand New. hardback/cd-rom edition. 140 pages. 9.00x6.25x0.75 inches. In Stock.
Edité par LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659916870 ISBN 13 : 9783659916878
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 35,90
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research work deals with the procedures for computing the presence of outliers using various distance measures and general detection performance for unsupervised machine learning, such as the K-Mean Clustering Analysis and Principal Component Analysis. A comprehensive evaluation of Data Mining Techniques, Machine Learning and Predictive modelling for Unsupervised Anomaly Detection Algorithms on Electronic Banking Transaction data sets record for over a period of six (6) months, April to September, 2015, consisting of 9 variable data fields and 8,641 observations, were used to carry out the survey on fraud detection. On completion of the underlying system, I can conclude that integrated techniques system provide better performance efficiency than a singular system. Besides, in near real-time settings, if a faster computation is required for larger data sets, just like the unlabelled data sets used for this research work, clustering based method is preferred to classification model.