KDCOM: A Knowledge Discovery Component Framework (1998)
| Citations: | 2 - 0 self |
BibTeX
@MISC{Bueno98kdcom:a,
author = {Jesús Cerquides Bueno},
title = {KDCOM: A Knowledge Discovery Component Framework},
year = {1998}
}
OpenURL
Abstract
and Poster Session. In Section 5.3 we indicate that rule interest measures up to date are not accurate and introduce a necessary condition for interestingness. This work has also been accepted for presentation at the Fifteenth National Conference on Artificial Intelligence (AAAI-98) Student Abstract and Poster Session. In Section 5.4 we introduce the idea of fuzzy metaquery and justify that it can be useful as a integration tool for knowledge discovery systems. This work has been presented at the Sixth IEEE International Conference on Fuzzy Systems (FUZZIEE-97). Finally, in Section 5.5 we explain two components that we are actually developing. 5.1 Distance-Based Discretization Discretization is a process that transforms continuous attributes into discrete ones. Performing this previous step, we can apply discrete classification methods to datasets containing continuous values. We have developed a discretization method, based on the idea of distance between partitions. In this section...







