Pregled bibliografske jedinice broj: 867192
Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Developing Churn Models Using Data Mining Techniques and Social Network Analysis, 2014 (monografija)
CROSBI ID: 867192 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Autori
Klepac, Goran ; Kopal, Robert ; Mršić, Leo
Vrsta, podvrsta i kategorija knjige
Autorske knjige, monografija, znanstvena
Izdavač
IGI Global
Godina
2014
Stranica
308
ISBN
9781466662889
Ključne riječi
Churn, predictive modeling
Sažetak
Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios. Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Visoko učilište Algebra, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus