Ensemble decision trees
| AUTHOR | Zięba, Maciej; Zi Ba, Maciej |
| PUBLISHER | LAP Lambert Academic Publishing (07/13/2012) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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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Product Format
Product Details
ISBN-13:
9783659185205
ISBN-10:
3659185205
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
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Page Count:
80
Carton Quantity:
98
Product Dimensions:
6.00 x 0.19 x 9.00 inches
Weight:
0.28 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Information Technology
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publisher marketing
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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$62.84
