164 search results - page 15 / 33 » Clustering Rules Using Empirical Similarity of Support Sets |
119
click to vote
AI
2006
Springer
14 years 12 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
106
click to vote
TJS
2010
14 years 10 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene ...
KDD
2002
ACM
16 years 5 days ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
SP
2008
IEEE
14 years 11 months ago
2008
IEEE
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...