45 search results - page 2 / 9 » A Framework for Clustering Massive-Domain Data Streams |
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...
JMLR
2010
12 years 12 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
CN
2006
13 years 5 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...