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Predictive Analytics Applications for Business

References

Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining Association Rules between Sets of Items in Large Databases. San Jose: IBM Almaden Research Center.

Bowerman, B. L., O'Connell, R. T., & Orris, J. B. (2009). Essentials of Business Statistics, THIRD EDITION. McGraw-Hill Higher Education.

Microsoft Research. (n.d.). Data Mining. Retrieved August 14, 2010, from Microsoft Research: research.microsoft.com/en-us/projects/datamining/default.aspx

NIST/SEMATECH. (2003, June 1). Introduction to Time Series Analysis. Retrieved August 14, 2010, from NIST/SEMATECH e-Handbook of Statistical Methods: www.itl.nist.gov/div898/handbook/

Pyungchul Kim, P. (2004, June 14). SQL Server Data Mining Overview. Retrieved August 14, 2010, from SQL Server Data Mining : www.sqlserverdatamining.com/ssdm/Default.aspx?tabid=95&Id=168

Rennie, J. D., Shih, L., Teevan, J., & Karger, D. R. (2003). Tackling the Poor Assumptions of Naive Bayes Text Classi. Cambridge: Artifcial Intelligence Laboratory; Massachusetts Institute of Technology.

Statistica. (n.d.). Statsoft. Retrieved August 14, 2010, from Data Mining, Predictive Modeling, Techniques: www.statsoft.com/textbook/data-mining-techniques/#olap

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4 Comments

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