This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost-sensitive data mining is an essential technique of data mining for applications like fraud-detection and loan-approval where the cost of misclassification of a sample is critical. It provides an overview of many algorithms which falls under this cluster. Proposed algorithms namely, CSExtension1, CSExtension2, CSExtension3, CSExtension4 and CSExtension5 are implemented and tested as an extension to data mining tool weka by the author of this book. These all algorithms provide adequate results for the parameters, cost-of-misclassificaiton and number of high cost errors. At the end, it gives new directions to its readers for unexplored areas in the same domain.
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This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost-sensitive data mining is an essential technique of data mining for applications like fraud-detection and loan-approval where the cost of misclassification of a sample is critical. It provides an overview of many algorithms which falls under this cluster. Proposed algorithms namely, CSExtension1, CSExtension2, CSExtension3, CSExtension4 and CSExtension5 are implemented and tested as an extension to data mining tool weka by the author of this book. These all algorithms provide adequate results for the parameters, cost-of-misclassificaiton and number of high cost errors. At the end, it gives new directions to its readers for unexplored areas in the same domain.
Ankit Desai, is an Assistant Professor in Information Technology Department of Charotar University of Science and Technology. He pursued his B.E.(I.T.) from CIT, Changa in 2007 and M.Tech.(C.E., Gold Medalist) from DDU, Nadiad in 2012. His research interest includes, Algorithms, Data Mining, Software Refactoring, Open-Source and Info. Security.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Desai AnkitAnkit Desai, is an Assistant Professor in Information Technology Department of Charotar University of Science and Technology. He pursued his B.E.(I.T.) from CIT, Changa in 2007 and M.Tech.(C.E., Gold Medalist) from DDU, Na. N° de réf. du vendeur 5137413
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost-sensitive data mining is an essential technique of data mining for applications like fraud-detection and loan-approval where the cost of misclassification of a sample is critical. It provides an overview of many algorithms which falls under this cluster. Proposed algorithms namely, CSExtension1, CSExtension2, CSExtension3, CSExtension4 and CSExtension5 are implemented and tested as an extension to data mining tool weka by the author of this book. These all algorithms provide adequate results for the parameters, cost-of-misclassificaiton and number of high cost errors. At the end, it gives new directions to its readers for unexplored areas in the same domain. N° de réf. du vendeur 9783659179495
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Taschenbuch. Etat : Neu. AdaBoost Extensions for Cost-Sensitive Classification | A research under data mining classification | Ankit Desai | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659179495 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106381526
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