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» Mining data streams: a review
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CORR
2012
Springer
209views Education» more  CORR 2012»
13 years 7 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
DMSN
2006
ACM
15 years 5 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
SIGMOD
2005
ACM
151views Database» more  SIGMOD 2005»
16 years 15 hour ago
The 8 requirements of real-time stream processing
Applications that require real-time processing of high-volume data steams are pushing the limits of traditional data processing infrastructures. These stream-based applications in...
Michael Stonebraker, Ugur Çetintemel, Stanley B. ...
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 8 days ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 6 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia