1402 search results - page 4 / 281 » Detecting Change in Data Streams |
NIPS
2001
13 years 9 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
ML
2010
ACM
13 years 6 months ago
2010
ACM
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
ISMIS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...