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» A Data Stream Mining System
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ICDE
2007
IEEE
155views Database» more  ICDE 2007»
15 years 11 months ago
Query-Aware Sampling for Data Streams
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
CSREASAM
2006
15 years 6 months ago
Novel Attack Detection Using Fuzzy Logic and Data Mining
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Norbik Bashah Idris, Bharanidharan Shanmugam
CLOUD
2010
ACM
15 years 10 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICDE
2007
IEEE
206views Database» more  ICDE 2007»
16 years 6 months ago
Efficiently Processing Continuous k-NN Queries on Data Streams
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Beng Chin Ooi, Christian Böhm, Claudia Plant,...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 5 months ago
A geometric approach to monitoring threshold functions over distributed data streams
Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
Izchak Sharfman, Assaf Schuster, Daniel Keren