128 search results - page 6 / 26 » Sequential Change Detection on Data Streams |
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...
COMPSAC
2005
IEEE
14 years 1 months ago
2005
IEEE
Parallel changes are a basic fact of modern software development. Where previously we looked at prima facie interference, here we investigate a less direct form that we call seman...
CICLING
2010
Springer
14 years 2 months ago
2010
Springer
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
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...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...