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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 6 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
IPSN
2005
Springer
15 years 11 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
ICDT
2010
ACM
205views Database» more  ICDT 2010»
15 years 11 months ago
On the Aggregation Problem for Synthesized Web Services
The paper formulates and investigates the aggregation problem for synthesized mediators of Web services (SWMs). An SWM is a finite-state transducer defined in terms of templates...
Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu
SIGCOMM
2010
ACM
15 years 6 months ago
Energy proportionality of an enterprise network
Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. While strategies for lowerin...
Priya Mahadevan, Sujata Banerjee, Puneet Sharma
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley