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» Data Clustering: A Review
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VLDB
2002
ACM
126views Database» more  VLDB 2002»
15 years 6 months ago
FAS - A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components
Data warehouses offer a compromise between freshness of data and query evaluation times. However, a fixed preference ratio between these two variables is too undifferentiated. Wit...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...
EUROSYS
2011
ACM
14 years 10 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 7 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
EWSN
2004
Springer
16 years 6 months ago
Improving the Energy Efficiency of Directed Diffusion Using Passive Clustering
Directed diffusion is a prominent example of data-centric routing based on application layer data and purely local interactions. In its functioning it relies heavily on network-wid...
Andreas Köpke, Christian Frank, Holger Karl, ...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 4 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...