Bibliography

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Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Korean 2nd Edition], 2nd: E & B Plus, pp. 480, 2012.
Shmueli, G., P. C. Bruce, A. K. Deokar, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner, 1: John Wiley & Sons, 2023.
Shmueli, G., and O. Koppius, "What is Predictive about Partial Least Squares?", Sixth Symposium on Statistical Challenges in eCommerce Research (SCECR), University of Texas at Austin, McCombs School of Business, TX, 05/06/2010. PDF icon Conference Paper (285.09 KB)
Shmueli, G., P. C. Bruce, M. L. Stephens, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 1, New Jersey, John Wiley & Sons, 2016.
Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [2nd Edition]", Practical Analytics, 2: Axelrod Schnall, pp. 202, 2011.
Shmueli, G., P. C. Bruce, P. Gedeck, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python, 1, New Jersey, John Wiley & Sons, 2019.
Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.
Shmueli, G., P. C. Bruce, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3, New Jersey, John Wiley & Sons, 2016.
Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Korean Edition]: SciTech, 2009.
Shmueli, G., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees: Indian School of Business, 2014.
Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper (RHS 06-058) : Smith School of Business, University of Maryland, 2009.
Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 2, New Jersey, John Wiley & Sons, 2010.
Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. PDF icon Stat Science published.pdf (293.36 KB)
Shmueli, G., P. C. Bruce, I. Yahav, N. R. Patel, and K. C. Lichtendahl, Jr., Data Mining for Business Analytics: Concepts, Techniques, and Applications in R, 1, New Jersey, John Wiley & Sons, 2017.
Shmueli, G., and H. Li, "Practical Time Series Forecasting: A Hands-On Guide [Chinese Edition] (时间序列预测实践教程)", Practical Analytics: Tsinghua University Press, 2012.
Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Kindle Edition]", Practical Analytics, Kindle Edition: Axelrod Schnall, 2011.
Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Indian Edition]", Practical Analytics: Axelrod Schnall, pp. 208, 2014.
Shmueli, G., and O. Koppius, "Predictive vs. Explanatory Modeling in IS Research", Conference on Information Systems & Technology (Best Paper Award), Seattle, WA, 03/11/2007.
Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. PDF icon MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)

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