Building and Querying Large Modelbases

8 Pages Posted: 9 Oct 2008

See all articles by Alexander Tuzhilin

Alexander Tuzhilin

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Bing Liu

University of Illinois at Chicago

Jie Hu

New York University (NYU)

Date Written: 2005

Abstract

Model building is one of the most important objectives ofdata mining and data analysis. As many data miningapplications, such as personalization, bioinformatics andsome large enterprise-wide business applications, becomeincreasingly complex and require a very large number ofmodels, it is becoming progressively more difficult for dataanalysts to built and to manage a large number of modelsin these applications on their own. Therefore, developmentof software tools helping data analysts in these tasks isbecoming a pressing issue. This paper presents a modelmanagement system supporting various types of datamining models. It describes how to build and populatelarge heterogeneous modelbases. It also presents a querylanguage for querying these modelbases and examinesperformance results for some of the queries.

Suggested Citation

Tuzhilin, Alexander and Liu, Bing and Hu, Jie, Building and Querying Large Modelbases (2005). Information Systems Working Papers Series, Vol. , pp. -, 2005. Available at SSRN: https://ssrn.com/abstract=1281307

Alexander Tuzhilin (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

Bing Liu

University of Illinois at Chicago ( email )

1200 W Harrison St
Chicago, IL 60607
United States

Jie Hu

New York University (NYU) ( email )

Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States

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