AdaBoost Extensions for Cost-Sensitive Classification: A research under data mining classification

Ankit Desai

Editorial: LAP LAMBERT Academic Publishing 2012-07-12, 2012
ISBN 10: 3659179493 / ISBN 13: 9783659179495
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Sinopsis: 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.

About the Author: 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.

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Título: AdaBoost Extensions for Cost-Sensitive ...
Editorial: LAP LAMBERT Academic Publishing 2012-07-12
Año de publicación: 2012
Condición del libro: New

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Descripción Estado de conservación: New. Publisher/Verlag: LAP Lambert Academic Publishing | A research under data mining classification | 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. | Format: Paperback | Language/Sprache: english | 104 pp. Nº de ref. de la librería K9783659179495

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Descripción LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Estado de conservación: Neu. Neuware - 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. 104 pp. Englisch. Nº de ref. de la librería 9783659179495

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Descripción LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Estado de conservación: Neu. Neuware - 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. 104 pp. Englisch. Nº de ref. de la librería 9783659179495

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Descripción LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Estado de conservación: Neu. This item is printed on demand - Print on Demand Neuware - 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. 104 pp. Englisch. Nº de ref. de la librería 9783659179495

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Descripción LAP Lambert Academic Publishing, Germany, 2012. Paperback. Estado de conservación: New. Aufl.. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería AAV9783659179495

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Descripción LAP Lambert Academic Publishing. Paperback. Estado de conservación: New. Paperback. 104 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9783659179495

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