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Reference Model for Business Intelligence to Predict Bankruptcy: A Stepwise Comprehensive Solution for Business Intelligence: Model, Architecture and Application - Softcover

Aruldoss, Martin; Venkatasamy, Prasanna Venkatesan

 
9783659773150: Reference Model for Business Intelligence to Predict Bankruptcy: A Stepwise Comprehensive Solution for Business Intelligence: Model, Architecture and Application
Softcover
ISBN 10: 3659773158 ISBN 13: 9783659773150
Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

Bankruptcy is a financial failure of a business or an organization. It leads to catastrophic results to the whole community. Different kinds of bankruptcy prediction techniques are proposed to predict it. But, they are restricted as techniques in predicting the bankruptcy and not addressing the associated activities like acquiring the suitable data and delivering the results to the user after processing it. This situation demands to look for a comprehensive solution for predicting bankruptcy with intelligence. In this book, to model a comprehensive intelligence solution for bankruptcy prediction a Reference Model for buSiness inTelligence to prEdict bankruPtcy (RM-STEP) is designed by applying unit operations as hierarchical structure with abstract components. To realize the proposed reference model, ARCHitecture for buSiness inTelligence to prEdict bankruPtcy (ARCH-STEP) has been designed. Research experiment is designed for ARCH-STEP and the architectural experience of applying RM-STEP is reported. This book is essential toolkit for bankers, business executives, software architects, BI professionals and researchers who wish to provide the BI solution for various domains.

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Über die Autorin bzw. den Autor

Aruldoss Martin received the Ph.D. in CSE(Banking Technology). His research interests include business intelligence and multi-criteria reporting and received 129 citations for his publications in these areas since 2010. Venkatasamy Prasanna Venkatesan received Ph.D(CSE). He has 20+ years of teaching experience and received more than 200 citations.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3659773158
ISBN 13 
9783659773150
Einband
Taschenbuch
Anzahl der Seiten
272
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
SIA OmniScriptum Publishing
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland