121 search results - page 3 / 25 » Robust Clustering of Data Streams using Incremental Optimiza... |
ISMIS
2009
Springer
14 years 10 days 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...
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
VLDB
1997
ACM
13 years 10 months ago
1997
ACM
Data warehouses and recording systems typically have a large continuous stream of incoming data, that must be stored in a manner suitable for future access. Access to stored recor...
JCP
2006
13 years 5 months ago
2006
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...