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., 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., 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., 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., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 1st edition: John Wiley & Sons, 2006.

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., 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., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Indian Edition], 1st edition: Wiley India, 2008.

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., P. C. Bruce, P. Gedeck, I. Yahav, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, 2, New Jersey, John Wiley & Sons, 2023.

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.

Russo, R. P., G. Shmueli, W. Jank, and N. D. Shyamalkumar, "Models For Bid Arrivals and Bidder Arrivals in Online Auctions", Methods and Applications of Statistics in Business, Finance and Management Sciences, Newark, NJ, John Wiley & Sons, pp. 293-309, 2010. FinanceHandbookShmueli.pdf (445.99 KB)

Murphy, S., H. S. Burkom, and G. Shmueli, "Data Adaptive Multivariate Control Charts for Routine Health Monitoring", Syndromic Surveillance Conference (in Advances in Disease Surveillance, 1:53), 2006.

Bose, S., G. Shmueli, P. Sur, and P. Dubey, "Fitting COM-Poisson Mixtures to Bimodal Count Data", 1st International Conference on Information, Operations Management and Statistics (ICIOMS), Kuala Lumpur, Malaysia, 01/09/2013. ICIOMS 2013 Malaysia Paper ID 28.pdf (513.9 KB)

Shmueli, G., W. Jank, and R. Bapna, "Sampling eCommerce Data from the Web: Methodological and Practical Issues", JSM, Minneapolis, MA, Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], 2005. JSM2005 Web_sampling .pdf (94.5 KB)

Buono, P., C. Plaisant, A. Simeone, A. Aris, B. Shneiderman, G. Shmueli, and W. Jank, "Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting", 11th Intl Conference on Information Visualization (InfoViz), Zurich, Switzerland, 2007.

Lotze, T., G. Shmueli, S. Murphy, and H. S. Burkom, "A Wavelet-based Anomaly Detector for Early Detection of Disease Outbreaks", Proceedings of the 23rd International Conference on Machine Learning (ICML), Workshop on Machine Learning Algorithms for Surveillance and Event Detection, Pittsburgh, PA, 2006.

"Accelerating Statistical Research in Drug Safety", Pharmacoepidemiology and Drug Safety, vol. 15, issue 9, pp. 687-688, 2006.

Burkom, H. S., S. Murphy, and G. Shmueli, "Automated Time Series Forecasting for Biosurveillance", Statistics in Medicine, vol. 26, issue 22, pp. 4202-4218, 2007. AutomatedForecasting BurkomMurphyShmueli print version.pdf (549.87 KB)

Sellers, K. F., S. Borle, and G. Shmueli, "The COM-Poisson Model for Count Data: A Survey of Methods and Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 104-116, 2012. COM-Poisson Survey (581.27 KB)