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VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 8 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 4 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
NOSSDAV
2005
Springer
14 years 2 months ago
Platform Overlays: enabling in-network stream processing in large-scale distributed applications
The purpose of this research is to explore the capabilities of future, multi-core heterogeneous systems, with specialized communication support, to be used as efficient and flex...
Ada Gavrilovska, Sanjay Kumar, Srikanth Sundaragop...
IIE
2008
98views more  IIE 2008»
13 years 9 months ago
Data Mining Application in Higher Learning Institutions
One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more co...
Naeimeh Delavari, Somnuk Phon-Amnuaisuk, M. Reza B...
CBMS
2006
IEEE
14 years 3 months ago
Incoporating Data Mining Applications into Clinical Guildelines
Computer based clinical guidelines have been developed to help caregivers in practicing medicine. GLIF3 (Guideline Interchange Format 3) is one of several standards that specify t...
Reza Sherafat Kazemzadeh, Kamran Sartipi