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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14110
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| Title: | Building and Querying Large Modelbases |
| Authors: | Tuzhilin, Alexander
Liu, Bing
Hu, Jie |
| Issue Date: | 2005 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | CeDER-05-16 |
| Abstract: | Model building is one of the most important objectives of data mining
and data analysis. As many data mining applications, such as
personalization, bioinformatics and some large enterprise-wide business
applications, become increasingly complex and require a very large
number of models, it is becoming progressively more difficult for data
analysts to built and to manage a large number of models in these
applications on their own. Therefore, development of software tools
helping data analysts in these tasks is becoming a pressing issue. This
paper presents a model management system supporting various types of
data mining models. It describes how to build and populate large
heterogeneous modelbases. It also presents a query language for querying
these modelbases and examines performance results for some of the queries. |
| URI: | http://hdl.handle.net/2451/14110 |
| Appears in Collections: | CeDER Working Papers
IOMS: Information Systems Working Papers
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