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» Algorithmic Randomness of Closed Sets
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 3 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
ICFCA
2007
Springer
15 years 9 months ago
Some Notes on Pseudo-closed Sets
Pseudo-intents (also called pseudo-closed sets) of formal contexts have gained interest in recent years, since this notion is helpful for finding minimal representations of impli...
Sebastian Rudolph
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 3 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
ECCV
2004
Springer
16 years 5 months ago
Sparse Finite Elements for Geodesic Contours with Level-Sets
Level-set methods have been shown to be an effective way to solve optimisation problems that involve closed curves. They are well known for their capacity to deal with flexible top...
Martin Weber, Andrew Blake, Roberto Cipolla
APPROX
2007
Springer
77views Algorithms» more  APPROX 2007»
15 years 9 months ago
High Entropy Random Selection Protocols
We study the two party problem of randomly selecting a string among all the strings of length n. We want the protocol to have the property that the output distribution has high en...
Harry Buhrman, Matthias Christandl, Michal Kouck&y...