R Data Mining - Cirillo, Andrea
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This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.

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Produktbeschreibung
This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.
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Autorenporträt
Andrea Cirillo is currently working as an audit quantitative analyst at Intesa Sanpaolo Banking Group. He gained financial and external audit experience at Deloitte Touche Tohmatsu and internal audit experience at FNM, a listed Italian company. His main responsibilities involve the evaluation of credit risk management models and their enhancement, mainly within the field of the Basel III capital agreement. He is married to Francesca and is the father of Tommaso, Gianna, Zaccaria, and Filippo. Andrea has written and contributed to a few useful R packages such as updateR, ramazon, and paletteR, and regularly shares insightful advice and tutorials on R programming. His research and work mainly focus on the use of R in the fields of risk management and fraud detection, largely by modeling custom algorithms and developing interactive applications.Andrea has previously authored RStudio for R Statistical Computing Cookbook for Packt Publishing.