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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 5 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
IMA
2007
Springer
117views Cryptology» more  IMA 2007»
15 years 4 months ago
On the Connection Between Signcryption and One-Pass Key Establishment
Key establishment between two parties that uses only one message transmission is referred to as one-pass key establishment (OPKE). OPKE provides the opportunity for very efficient ...
M. Choudary Gorantla, Colin Boyd, Juan Manuel Gonz...
ERLANG
2007
ACM
15 years 2 months ago
Optimising TCP/IP connectivity
With the increased use of network enabled applications and server hosted software systems, scalability with respect to network connectivity is becoming an increasingly important s...
Oscar Hellström
SDM
2007
SIAM
120views Data Mining» more  SDM 2007»
15 years 2 days ago
An Analysis of Logistic Models: Exponential Family Connections and Online Performance
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Arindam Banerjee
CATA
2000
15 years 19 hour ago
Fast connected component labeling algorithm using a divide and conquer technique
We investigate a method to speed up the O(n3 ) labeling algorithm of Rosenfeld and Pfaltz for segmenting binary images, which is unduly complex for large images. That algorithm sea...
June-Me Park, Carl G. Looney, Hui-Chuan Chen