2822 search results - page 307 / 565 » Mining Optimized Ranges |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...