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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 6 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
SIGMOD
2004
ACM
151views Database» more  SIGMOD 2004»
16 years 6 months ago
Highly-Available, Fault-Tolerant, Parallel Dataflows
We present a technique that masks failures in a cluster to provide high availability and fault-tolerance for long-running, parallelized dataflows. We can use these dataflows to im...
Mehul A. Shah, Joseph M. Hellerstein, Eric A. Brew...
SOSP
2007
ACM
16 years 3 months ago
DejaView: a personal virtual computer recorder
As users interact with the world and their peers through their computers, it is becoming important to archive and later search the information that they have viewed. We present De...
Oren Laadan, Ricardo A. Baratto, Dan B. Phung, Sha...
WWW
2010
ACM
16 years 1 months ago
Smart caching for web browsers
In modern Web applications, style formatting and layout calculation often account for a substantial amount of local Web page processing time. In this paper1 , we present two novel...
Kaimin Zhang, Lu Wang, Aimin Pan, Bin Benjamin Zhu
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