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KDD
2002
ACM
146views Data Mining» more  KDD 2002»
14 years 5 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
FIMI
2003
136views Data Mining» more  FIMI 2003»
13 years 6 months ago
Intersecting data to closed sets with constraints
We describe a method for computing closed sets with data-dependent constraints. Especially, we show how the method can be adapted to find frequent closed sets in a given data set...
Taneli Mielikäinen
CIE
2007
Springer
13 years 9 months ago
K -Trivial Closed Sets and Continuous Functions
We investigate the notion of K-triviality for closed sets and continuous functions. Every K-trivial closed set contains a K-trivial real. There exists a K-trivial 0 1 class with no...
George Barmpalias, Douglas A. Cenzer, Jeffrey B. R...
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
14 years 2 months ago
Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
In this paper, we study efficient closed pattern mining in a general framework of set systems, which are families of subsets ordered by set-inclusion with a certain structure, pro...
Hiroki Arimura, Takeaki Uno
LOGCOM
2007
89views more  LOGCOM 2007»
13 years 5 months ago
Algorithmic Randomness of Closed Sets
We investigate notions of randomness in the space C[2N ] of nonempty closed subsets of {0, 1}N . A probability measure is given and a version of the Martin-L¨of test for randomne...
George Barmpalias, Paul Brodhead, Douglas Cenzer, ...