Ensemble decision trees: Ensemble decision trees for customer classification in service oriented systems

 
9783659185205: Ensemble decision trees: Ensemble decision trees for customer classification in service oriented systems

This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset.

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About the Author:

Maciej Zięba graduated from Wrocław University of Technology, Faculty of Computer Science and Management, Poland, and Blekinge Institute of Technology, Sweden, receiving M. Sc. degree in computer science. Currently, he is a Ph.D. student at Wrocław University of Technology. His research interests include: machine learning and pattern recognition.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Ensemble decision trees for customer classification in service oriented systems | This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. | Format: Paperback | Language/Sprache: english | 80 pp. Bookseller Inventory # K9783659185205

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Book Description LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. 80 pp. Englisch. Bookseller Inventory # 9783659185205

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Book Description LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. 80 pp. Englisch. Bookseller Inventory # 9783659185205

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Book Description LAP Lambert Academic Publishing. Paperback. Book Condition: New. 80 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783659185205

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Book Description LAP Lambert Academic Publishing, Germany, 2012. Paperback. Book Condition: New. Aufl.. Language: English . Brand New Book ***** Print on Demand *****.This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. Bookseller Inventory # AAV9783659185205

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Book Description LAP Lambert Academic Publishing Jul 2012, 2012. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - This book concentrates on the problem of credit assignment. The goal of this work is to propose ensemble classification method, which can be applied to solve credit decisions problems. The method uses switching class labels techniques to construct complex classification system, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem of asymmetric cost matrix. The performance of the proposed solution is going to be evaluated on German Credits dataset. 80 pp. Englisch. Bookseller Inventory # 9783659185205

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