5463 search results - page 54 / 1093 » Evaluating algorithms that learn from data streams |
86
Voted
SAC
2010
ACM
15 years 5 months ago
2010
ACM
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
121
Voted
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
99
Voted
DAWAK
2008
Springer
15 years 2 months ago
2008
Springer
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
93
Voted
HUC
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
137
Voted
EDBT
2004
ACM
16 years 19 days ago
2004
ACM
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...