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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 10 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
ACMSE
2006
ACM
14 years 3 months ago
Framework design using function generalization: a binary tree traversal case study
A software framework is a technology that enables software reuse, potentially yielding rich dividends but requiring significant longterm investment. However, a framework is not a ...
H. Conrad Cunningham, Yi Liu, Pallavi Tadepalli
CVPR
2000
IEEE
14 years 12 months ago
Nearest Neighbor Search Using Additive Binary Tree
Classifying an unknown input is a fundamental problem in Pattern Recognition. One standard method is finding its nearest neighbors in a reference set. It would be very time consum...
Sung-Hyuk Cha, Sargur N. Srihari
DAWAK
2000
Springer
14 years 2 months ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 12 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...