941 search results - page 26 / 189 » Adaptive Learning from Evolving Data Streams |
137
click to vote
SAC
2009
ACM
15 years 10 months ago
2009
ACM
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
220
click to vote
ICDE
2007
IEEE
16 years 4 months ago
2007
IEEE
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
130
Voted
CICLING
2010
Springer
15 years 10 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...
85
Voted
CORR
2010
Springer
15 years 26 days ago
2010
Springer
Abstract. One of the fastest evolving field among teaching and learning research is students' performance evaluation. Computer based testing systems are increasingly adopted b...
133
Voted
KDD
2003
ACM
16 years 3 months ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...