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 |
Files in This Item:
File | Description | Size | Format | |
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CeDER-05-16.pdf | 136.07 kB | Adobe PDF | View/Open |
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