BATON ROUGE - Joni Nunnery-Shreve, Instructor in the Department of Information Systems & Decision Sciences and Practicum Coordinator for the new Masters of Science in Analytics, Helmut Schneider, LSU E. J. Ourso College of Business associate dean for Research and Economic Development and chair of the LSU Department of Information Systems & Decision Sciences, Omer M. Soysal, Assistant Professor, Department of Information Systems & Decision Sciences,  have co-authored the article, “A methodology for comparing classification methods through the assessment of model stability and validity in variable selection,” published in the December 2011 issue of Decision Support Systems.  

In the article, the authors compare six classification methods commonly used in data mining through the assessment of model stability and validity in variable selection. “This study provides a systematic design for comparing the performance of six classification methods using Monte Carlo simulations and illustrates that the variable selection process is integral in comparing methodologies to ensure minimal bias, enhanced stability, and optimize performance,” the article abstract states. “We quantify the variable selection bias and show that, for sufficiently large samples, this bias is minimized so that methods can be compared.”

The Department of Information Systems & Decision Sciences at LSU’s E. J. Ourso College of Business combines teaching and research to create a rich learning experience for its students. Relationships with industry and state agencies enable the department to assist organizations with issues related to innovation and technological change, as well as offer enhanced career opportunities for its graduates. Collaborative research efforts of its diverse faculty have resulted in major grants from the National Science Foundation and the state Louisiana. For more information, visit www.bus.lsu.edu/isds, call 225-578-2126, or email ISDS@lsu.edu.

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