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ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
14 years 21 days ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
DMDW
2003
120views Management» more  DMDW 2003»
13 years 10 months ago
Well-formed data warehouse structures
: Two main problems arise in modelling data warehouse structures. The first consists in establishing an adequate representation of dimensions in order to facilitate and to control ...
Michel Schneider
FGIT
2009
Springer
14 years 1 months ago
Data Analysis Methods for Library Marketing
Our society is rapidly changing into information society, where the needs and requests of the people on information access vary vigorously depending who they are. Library's m...
Toshiro Minami, Eunja Kim
BMCBI
2006
107views more  BMCBI 2006»
13 years 9 months ago
CROPPER: a metagene creator resource for cross-platform and cross-species compendium studies
Background: Current genomic research methods provide researchers with enormous amounts of data. Combining data from different high-throughput research technologies commonly availa...
Jussi Paananen, Markus Storvik, Garry Wong
DMSN
2010
ACM
13 years 10 months ago
DEMS: a data mining based technique to handle missing data in mobile sensor network applications
In Mobile Sensor Network (MSN) applications, sensors move to increase the area of coverage and/or to compensate for the failure of other sensors. In such applications, loss or cor...
Le Gruenwald, Md. Shiblee Sadik, Rahul Shukla, Han...