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76
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
108
Voted
ADC
2003
Springer
15 years 3 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
67
Voted
ISAAC
2007
Springer
15 years 4 months ago
2007
Springer
ICDCS
1996
IEEE
15 years 2 months ago
1996
IEEE
We propose a new algorithm for recovering asynchronously from failures in a distributed computation. Our algorithm is based on two novel concepts - a fault-tolerant vector clock t...