Mohlo by se vám také líbit

Více informací o knize Credit Scoring Model Using Data Mining Techniques-a pragmatic approach

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 148 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Credit Scoring Model Using Data Mining Techniques-a pragmatic approach
• Autor: Aroop Mukherjee
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 104
• EAN: 9783639256208
• ISBN: 3639256204
• ID: 06833054
• Nakladatelství: VDM Verlag
• Hmotnost: 163 g
• Rozměry: 229 × 152 × 6 mm
• Datum vydání: 17. May 2010

Oblíbené z jiného soudku

---

---

---