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PAM
2012
Springer
12 years 3 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
ASC
2008
13 years 7 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
14 years 1 months ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
CBMS
2006
IEEE
14 years 1 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick
EUROPAR
2006
Springer
13 years 11 months ago
Supporting a Real-Time Distributed Intrusion Detection Application on GATES
Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...
Qian Zhu, Liang Chen, Gagan Agrawal