5463 search results - page 2 / 1093 » Evaluating algorithms that learn from data streams |
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
SAC
2006
ACM
13 years 10 months ago
2006
ACM
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
SIGMOD
2008
ACM
13 years 4 months ago
2008
ACM
We consider the problem of evaluating multiple overlapping queries defined on data streams, where each query is a conjunction of multiple filters and each filter may be shared acr...