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Overview on Multivariate Adaptive Regression Splines

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Advances in Research Methods for Information Systems Research

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 34))

Abstract

This chapter provides an overview of multivariate adaptive regression splines (MARS). Its main purpose is to introduce the reader to the major concepts underlying this data mining technique, particularly those that are relevant to the chapter that involves the use of this technique. This chapter includes an illustrative example and also provides guidance for interpreting a MARS model.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Virginia Commonwealth University, 301 W. Main Street, Richmond, VA, 23284, USA

    Kweku-Muata Osei-Bryson

Authors
  1. Kweku-Muata Osei-Bryson
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Correspondence to Kweku-Muata Osei-Bryson .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Virginia Commonwealth University, Richmond, Virginia, USA

    Kweku-Muata Osei-Bryson

  2. Department of Information Systems, Ryerson University, Toronto, Ontario, Canada

    Ojelanki Ngwenyama

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Osei-Bryson, KM. (2014). Overview on Multivariate Adaptive Regression Splines. In: Osei-Bryson, KM., Ngwenyama, O. (eds) Advances in Research Methods for Information Systems Research. Integrated Series in Information Systems, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9463-8_8

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