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A Systematic Approach for Optimizing Complex Mining Tasks on Multiple Ruoming Jin Gagan Agrawal
 

Summary: A Systematic Approach for Optimizing Complex Mining Tasks on Multiple
Databases
Ruoming Jin Gagan Agrawal
Department of Computer Science and Engineering
Ohio State University, Columbus OH 43210
jinr,agrawalĄ @cse.ohio-state.edu
Abstract
It has been well recognized that data mining is an interac-
tive and iterative process. In order to support this process,
one of the long-term goals of data mining research has been
to build a Knowledge Discovery and Data Mining System
(KDDMS). Along this line, much research has been done to
provide database support for mining operations.
However, the focus in these efforts has typically been on
mining a single dataset. In many situations, such as in a data
warehouse, the user usually has a view of multiple datasets
collected from different data sources. In such scenarios, com-
paring the patterns from different datasets and understanding
their relationships can be an extremely important part of the
KDD process. This requires support for complex queries on

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences