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» Measuring independence of datasets
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SAC
2010
ACM
14 years 7 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
116
Voted
STOC
2007
ACM
137views Algorithms» more  STOC 2007»
16 years 1 months ago
Testing k-wise and almost k-wise independence
In this work, we consider the problems of testing whether a distribution over {0, 1}n is k-wise (resp. ( , k)-wise) independent using samples drawn from that distribution. For the...
Noga Alon, Alexandr Andoni, Tali Kaufman, Kevin Ma...
ANTSW
2004
Springer
15 years 6 months ago
Fuzzy Ant Based Clustering
Various clustering methods based on the behaviour of real ants have been proposed. In this paper, we develop a new algorithm in which the behaviour of the artificial ants is gover...
Steven Schockaert, Martine De Cock, Chris Cornelis...
IMC
2007
ACM
15 years 2 months ago
Issues and etiquette concerning use of shared measurement data
In this note we discuss issues surrounding how to provide and use network measurement data made available for sharing among researchers. While previous work has focused on the tec...
Mark Allman, Vern Paxson
ICDE
2011
IEEE
234views Database» more  ICDE 2011»
14 years 4 months ago
How schema independent are schema free query interfaces?
— Real-world databases often have extremely complex schemas. With thousands of entity types and relationships, each with a hundred or so attributes, it is extremely difficult fo...
Arash Termehchy, Marianne Winslett, Yodsawalai Cho...