76 search results - page 1 / 16 » Detecting Changes in Unlabeled Data Streams Using Martingale |
IJCAI
2007
13 years 6 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...