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KDD
1999
ACM
108views Data Mining» more  KDD 1999»
14 years 21 days ago
Mining the Most Interesting Rules
Several algorithms have been proposed for finding the “best,” “optimal,” or “most interesting” rule(s) in a database according to a variety of metrics including confid...
Roberto J. Bayardo Jr., Rakesh Agrawal
SAC
2008
ACM
13 years 8 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 6 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
CACM
2006
102views more  CACM 2006»
13 years 8 months ago
Infoglut
whose titles and abstracts sound very interesting, the pile of unread reports continues to grow on the table in my office." (How quaint the terminology: mail and electronic me...
Peter J. Denning
DIS
2006
Springer
14 years 4 days ago
Visual Interactive Subgroup Discovery with Numerical Properties of Interest
Abstract. We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical proper...
Alípio Mário Jorge, Fernando Pereira...