28 search results - page 1 / 6 » STAGGER: Periodicity Mining of Data Streams Using Expanding ... |
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
ACIIDS
2009
IEEE
13 years 9 months ago
2009
IEEE
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
CIKM
2009
Springer
13 years 8 months ago
2009
Springer
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...