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» Architectural Support for Data Mining
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SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
16 years 3 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
MINENET
2005
ACM
16 years 2 days ago
Experiences with a continuous network tracing infrastructure
One of the most pressing problems in network research is the lack of long-term trace data from ISPs. The Internet carries an enormous volume and variety of data; mining this data ...
Alefiya Hussain, Genevieve Bartlett, Yuri Pryadkin...
ICSOC
2003
Springer
15 years 11 months ago
Service-Based Distributed Querying on the Grid
Service-based approaches (such as Web Services and the Open Grid Services Architecture) have gained considerable attention recently for supporting distributed application developme...
M. Nedim Alpdemir, Arijit Mukherjee, Norman W. Pat...
ICDM
2008
IEEE
401views Data Mining» more  ICDM 2008»
16 years 29 days ago
Graph OLAP: Towards Online Analytical Processing on Graphs
OLAP (On-Line Analytical Processing) is an important notion in data analysis. Recently, more and more graph or networked data sources come into being. There exists a similar need ...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Phil...
JCDL
2011
ACM
301views Education» more  JCDL 2011»
14 years 9 months ago
Archiving the web using page changes patterns: a case study
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...
Myriam Ben Saad, Stéphane Gançarski