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2014 | OriginalPaper | Buchkapitel

8. Overview on Multivariate Adaptive Regression Splines

verfasst von : Kweku-Muata Osei-Bryson

Erschienen in: Advances in Research Methods for Information Systems Research

Verlag: Springer US

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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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Literatur
Zurück zum Zitat Balshi MS, McGuire AD, Duffy P, Flannigan M, Walsh J, Melillo J (2009) Assessing the response of area burned to changing climate in Western Boreal North America using a multivariate adaptive regression splines (MARS) approach. Glob Change Biol 15(3):578–600CrossRef Balshi MS, McGuire AD, Duffy P, Flannigan M, Walsh J, Melillo J (2009) Assessing the response of area burned to changing climate in Western Boreal North America using a multivariate adaptive regression splines (MARS) approach. Glob Change Biol 15(3):578–600CrossRef
Zurück zum Zitat Behera AK, Verbert J, Lauwers B, Duflou JR (2012) Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines. Comput-Aided Des 45(3):575–590CrossRef Behera AK, Verbert J, Lauwers B, Duflou JR (2012) Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines. Comput-Aided Des 45(3):575–590CrossRef
Zurück zum Zitat Breiman L, Friedman J, Olshen R, Charles S (1984) Classification and regression trees. Wadsworth International Group Breiman L, Friedman J, Olshen R, Charles S (1984) Classification and regression trees. Wadsworth International Group
Zurück zum Zitat Briand L, Freimut B, Vollei F (2004) Using multiple adaptive regression splines to understand trends in inspection data and identify optimal inspection rates. J Syst Softw 73(2):2–23CrossRef Briand L, Freimut B, Vollei F (2004) Using multiple adaptive regression splines to understand trends in inspection data and identify optimal inspection rates. J Syst Softw 73(2):2–23CrossRef
Zurück zum Zitat De Andrés J, Lorca P, de Cos Juez FJ, Sánchez-Lasheras F (2011) Bankruptcy forecasting: a hybrid approach using fuzzy c-means clustering and multivariate adaptive regression splines (MARS). Expert Syst Appl 38(3):1866–1875CrossRef De Andrés J, Lorca P, de Cos Juez FJ, Sánchez-Lasheras F (2011) Bankruptcy forecasting: a hybrid approach using fuzzy c-means clustering and multivariate adaptive regression splines (MARS). Expert Syst Appl 38(3):1866–1875CrossRef
Zurück zum Zitat Deconinck E, Coomans D, Vander Heyden Y (2007) Exploration of linear modelling techniques and their combination with multivariate adaptive regression splines to predict gastro-intestinal absorption of drugs. J Pharm Biomed Anal 43(1):119–130CrossRef Deconinck E, Coomans D, Vander Heyden Y (2007) Exploration of linear modelling techniques and their combination with multivariate adaptive regression splines to predict gastro-intestinal absorption of drugs. J Pharm Biomed Anal 43(1):119–130CrossRef
Zurück zum Zitat Friedman JH (1991) Multivariate Adaptive Regression Splines. Ann Stat 19(1):1, pp 1–141 Friedman JH (1991) Multivariate Adaptive Regression Splines. Ann Stat 19(1):1, pp 1–141
Zurück zum Zitat Guo W, Zhao N, Shao H (2010) IT investment efficiency analysis of equipment manufacturing industry based on two-stage nonparametric model. In: Proceedings of IEEE 2010 international conference on challenges in environmental science and computer engineering, vol 2, pp 21–24 Guo W, Zhao N, Shao H (2010) IT investment efficiency analysis of equipment manufacturing industry based on two-stage nonparametric model. In: Proceedings of IEEE 2010 international conference on challenges in environmental science and computer engineering, vol 2, pp 21–24
Zurück zum Zitat Hastie T, Tibshirani R (1990) Generalized additive model. Chapman and Hall, London Hastie T, Tibshirani R (1990) Generalized additive model. Chapman and Hall, London
Zurück zum Zitat Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning: data mining, inference, and prediction. Springer-Verlag, New YorkCrossRef Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning: data mining, inference, and prediction. Springer-Verlag, New YorkCrossRef
Zurück zum Zitat Hu Y, Loizou PC (2008) Evaluation of objective quality measures for speech enhancement. IEEE Trans Audio Speech Lang Process 16(1):229–238CrossRef Hu Y, Loizou PC (2008) Evaluation of objective quality measures for speech enhancement. IEEE Trans Audio Speech Lang Process 16(1):229–238CrossRef
Zurück zum Zitat Hung Y-H, Chou S-C, Tzeng G-H (2011) Knowledge management adoption and assessment for SMES by a novel MCDM approach. Decis Support Syst 51:270–291CrossRef Hung Y-H, Chou S-C, Tzeng G-H (2011) Knowledge management adoption and assessment for SMES by a novel MCDM approach. Decis Support Syst 51:270–291CrossRef
Zurück zum Zitat Ko M, Osei-Bryson K (2004) Using regression splines to assess the impact of information technology investments on productivity in the healthcare industry. Inf Syst J 14:43–63CrossRef Ko M, Osei-Bryson K (2004) Using regression splines to assess the impact of information technology investments on productivity in the healthcare industry. Inf Syst J 14:43–63CrossRef
Zurück zum Zitat Ko M, Clark JG, Ko D (2008) Revisiting the impact of information technology investments on productivity: an empirical investigation using multivariate adaptive regression splines. Inf Res Manage J 21(3):1–23CrossRef Ko M, Clark JG, Ko D (2008) Revisiting the impact of information technology investments on productivity: an empirical investigation using multivariate adaptive regression splines. Inf Res Manage J 21(3):1–23CrossRef
Zurück zum Zitat Kositanurit B, Ngwenyama O, Osei-Bryson K-M (2006) An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques. EurJ Inf Syst 15:556–568CrossRef Kositanurit B, Ngwenyama O, Osei-Bryson K-M (2006) An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques. EurJ Inf Syst 15:556–568CrossRef
Zurück zum Zitat Leathwick JR, Rowe D, Richardson J, Elith J, Hastie T (2005) Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish. Freshw Biol 50(12):2034–2052CrossRef Leathwick JR, Rowe D, Richardson J, Elith J, Hastie T (2005) Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish. Freshw Biol 50(12):2034–2052CrossRef
Zurück zum Zitat Morawczynski O, Ngwenyama O (2007) Unraveling the impact of investments in ICT, education and health on development: an analysis of archival data of five West African countries using regression splines. Electron J Inf Syst Dev Countries 29:1–15 Morawczynski O, Ngwenyama O (2007) Unraveling the impact of investments in ICT, education and health on development: an analysis of archival data of five West African countries using regression splines. Electron J Inf Syst Dev Countries 29:1–15
Zurück zum Zitat Mukkamala S, Sung AH, Abraham A, Ramos V (2006) Intrusion detection systems using adaptive regression spines. In: Enterprise Information Systems VI, pp 211–218. Springer, Netherlands Mukkamala S, Sung AH, Abraham A, Ramos V (2006) Intrusion detection systems using adaptive regression spines. In: Enterprise Information Systems VI, pp 211–218. Springer, Netherlands
Zurück zum Zitat Osei-Bryson K-M, Dong L, Ngwenyama O (2008) Exploring managerial factors affecting ERP implementation: an investigation of the Klein-Sorra model using regression splines. Inf Syst J 18(5):499–527CrossRef Osei-Bryson K-M, Dong L, Ngwenyama O (2008) Exploring managerial factors affecting ERP implementation: an investigation of the Klein-Sorra model using regression splines. Inf Syst J 18(5):499–527CrossRef
Zurück zum Zitat Martin A (2011) A Hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and MARS. Int J Soft Comput 2(1):12–24CrossRef Martin A (2011) A Hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and MARS. Int J Soft Comput 2(1):12–24CrossRef
Zurück zum Zitat Zhou Y, Leung H (2007) Predicting object-oriented software maintainability using multivariate adaptive regression splines. J Syst Softw 80(8):1349–1361CrossRef Zhou Y, Leung H (2007) Predicting object-oriented software maintainability using multivariate adaptive regression splines. J Syst Softw 80(8):1349–1361CrossRef
Metadaten
Titel
Overview on Multivariate Adaptive Regression Splines
verfasst von
Kweku-Muata Osei-Bryson
Copyright-Jahr
2014
Verlag
Springer US
DOI
https://doi.org/10.1007/978-1-4614-9463-8_8