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CLOUD
2010
ACM
15 years 11 months ago
A self-organized, fault-tolerant and scalable replication scheme for cloud storage
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
KDD
2003
ACM
120views Data Mining» more  KDD 2003»
16 years 7 months ago
On detecting differences between groups
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining t...
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newl...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
16 years 2 days ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
ICDE
2006
IEEE
174views Database» more  ICDE 2006»
16 years 8 months ago
Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
"Sparse" data, in which relations have many attributes that are null for most tuples, presents a challenge for relational database management systems. If one uses the no...
Jennifer L. Beckmann, Alan Halverson, Rajasekar Kr...
ICDE
1999
IEEE
113views Database» more  ICDE 1999»
16 years 8 months ago
Parallel Algorithms for Computing Temporal Aggregates
The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advan...
Jose Alvin G. Gendrano, Bruce C. Huang, Jim M. Rod...