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» Challenges for Data Mining in Distributed Sensor Networks
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WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
14 years 2 months ago
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We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 11 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
IDEAS
2008
IEEE
96views Database» more  IDEAS 2008»
14 years 1 months ago
Robust aggregation in peer-to-peer database systems
Peer-to-peer database systems (P2PDBs) aim at providing database services with node autonomy, high availability and loose coupling between participating nodes by building the DBMS...
Norvald H. Ryeng, Kjetil Nørvåg
SIGOPS
2010
130views more  SIGOPS 2010»
13 years 6 months ago
Storing and accessing live mashup content in the cloud
Today’s Rich Internet Application (RIA) technologies such as Ajax, Flex, or Silverlight, are designed around the client-server paradigm and cannot easily take advantage of repli...
Krzysztof Ostrowski, Ken Birman