279 search results - page 27 / 56 » Methods for finding frequent items in data streams |
PODS
2009
ACM
14 years 8 months ago
2009
ACM
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
SIGMOD
2005
ACM
14 years 1 months ago
2005
ACM
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
ASC
2008
13 years 7 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
JIPS
2010
13 years 2 months ago
2010
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
JIIS
2000
13 years 7 months ago
2000
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...