902 search results - page 67 / 181 » Supporting self-adaptation in streaming data mining applicat... |
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
DEXA
2009
Springer
14 years 1 months ago
2009
Springer
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
DELOS
2007
13 years 10 months ago
2007
Data Stream Management (DSM) addresses the continuous processing of sensor data. DSM requires the combination of stream operators, which may run on different distributed devices, ...
VLDB
2004
ACM
14 years 2 months ago
2004
ACM
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...