Credit Scoring Model Using Data Mining Techniques–a pragmatic approach. Credit Scoring Model with Data Mining

Credit Scoring Model Using Data Mining Techniques–a pragmatic approach. Credit Scoring Model with Data Mining

Aroop Mukherjee

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6392-5620-8
Объём: 104 страниц
Масса: 178 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

Credit Scoring Model Using Data Mining Techniques – a pragmatic approach is a book on credit scores and its implementation using data mining. The credit score plays a vital role where lenders decide in extending you credit. Readers will learn the different aspect of Credit Scoring methods. Chapter I deal with credit scoring and data mining methodology. It also includes the data mining concept. Further Chapter II deals with credit products, credit scoring systems and benefits of credit scoring application. Chapter III talks about the concepts of data mining operation and its process. Chapter IV will discuss about the architecture of data mining and knowledge discovery process, in chapter V it describe about various algorithms of credit scoring and framework of data mining and finally the limitation of credit scoring and data mining is being discuss in chapter VI.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.

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