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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 3 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
143
Voted
ICPR
2000
IEEE
16 years 4 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...
273
Voted
PADL
2009
Springer
16 years 4 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan
128
Voted
ITNG
2010
IEEE
15 years 8 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
126
Voted
VIP
2001
15 years 4 months ago
Three-dimensional Medical Image Segmentation Using a Graph-Theoretic Energy-Minimisation Approach
A new graph algorithm for multiscale segmentation of threedimensional medical data sets is presented. It is a threedimensional generalisation of an existing two-dimensional Mumfor...
Brian Parker