902 search results - page 31 / 181 » Supporting self-adaptation in streaming data mining applicat... |
CIKM
2004
Springer
14 years 2 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
ASIAN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Detecting changes in data streams is very important for many applications. This paper presents a hybrid method for detecting data stream changes in intensive care unit. I...
DEBU
2010
13 years 9 months ago
2010
Microsoft StreamInsight is a platform for developing and deploying streaming applications. StreamInsight embraces a temporal stream model to unify and further enrich query languag...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
EDBT
2008
ACM
14 years 9 months ago
2008
ACM
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...