A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
What makes patterns interesting in knowledge discovery systems
1996
IEEE Transactions on Knowledge and Data Engineering
One of the central problems in the eld of knowledge discovery is the development o f g o o d measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures { those that depend only on the structure of a pattern and the underlying data used in the discovery process, and the subjective measures { those that also depend on the class of users who examine the pattern. The focus of this paper is on studying subjective measures of
doi:10.1109/69.553165
fatcat:niobj74avvfrbgpnxktu4c5uju