Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research
In this paper, we discuss a technique for discovering localized associations in segments of the data using clustering. Often, the aggregate behavior of a data set may be very different from localized segments. In such cases, it is desirable to design algorithms which are effective in discovering localized associations because they expose a customer pattern which is more specific than the aggregate behavior. This information may be very useful for target marketing. We present empirical results which show that the method is indeed able to find a significantly larger number of associations than what can be discovered by analysis of the aggregate data.
Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
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SPIE Optical Science, Engineering, and Instrumentation 1998