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170909s2014 gw ob 000 0 eng d |
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|a 1003195398
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|a 9783736947368
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|z 9783954047369
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|a (OCoLC)1003265039
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|b .K738 2014
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|a 658.88
|2 23
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|a UAMI
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|a Kraus, Anne.
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|a Recent Methods from Statistics and Machine Learning for Credit Scoring.
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|a Göttingen :
|b Cuvillier Verlag,
|c 2014.
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|a 1 online resource (167 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a Print version record.
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|a Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; Chapter 1 Introduction; Chapter 2 Measures of Performance and Data Description; Chapter 3 Logistic Regression; Chapter 4 Optimization AUC; Chapter 5 Generalized Additive Model; Chapter 6 Recursive Partitioning; Chapter 7 Boosting; Chapter 8 Summary and Outlook; Appendix A Supplementary Material; Appendix B Computational Aspects; Bibliography; Eidesstattliche Versicherung.
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|a Includes bibliographical references.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Credit scoring systems.
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|a Consumer credit.
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|a Évaluation par points (Crédit)
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|a Crédit à la consommation.
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|a Consumer credit
|2 fast
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|a Credit scoring systems
|2 fast
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|i has work:
|a Recent methods from statistics and machine learning for credit scoring (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFKm7gRkwpfrCgv7bwbpxC
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
8 |
|i Print version:
|a Kraus, Anne.
|t Recent Methods from Statistics and Machine Learning for Credit Scoring.
|d Göttingen : Cuvillier Verlag, ©2014
|z 9783954047369
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856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5018539
|z Texto completo
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938 |
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|a EBL - Ebook Library
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|a YBP Library Services
|b YANK
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