Introduction

René Michel, Igor Schnakenburg and Tobias von Martens
Additional contact information
René Michel: Deutsche Bank AG
Igor Schnakenburg: DeTeCon International GmbH
Tobias von Martens: Deutsche Bank AG

Chapter Chapter 1 in Targeting Uplift, 2019, pp 1-6 from Springer

Abstract: Abstract This chapter introduces uplift modeling at a generic level. The problem statement proposes various use cases where treatments are applied in order to change the behavior of observations, such as customers, patients, or machines. If the impact of treatments is ignored while predicting the behavior, (financial) resources may not be allocated effectively. The chapter continues to mention major contributions to uplift modeling that indicate that the topic is considered as relevant by researchers and practitioners. Finally, the structure of the book is clarified.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-22625-1_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030226251

DOI: 10.1007/978-3-030-22625-1_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().