406 search results - page 41 / 82 » New ensemble methods for evolving data streams |
KDD
1999
ACM
14 years 28 days ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
IDA
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
CSE
2009
IEEE
14 years 3 months ago
2009
IEEE
Conventional cryptography uses encryption key, which are long bit strings and are very hard to memorize such a long random numbers. Also it can be easily attacked by using the brut...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
ASC
2008
13 years 8 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...