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» Detecting Inconsistencies in Distributed Data
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DEBS
2007
ACM
14 years 25 days ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey
IROS
2009
IEEE
208views Robotics» more  IROS 2009»
14 years 3 months ago
Calibrating an outdoor distributed camera network using Laser Range Finder data
Abstract— Outdoor camera networks are becoming ubiquitous in critical urban areas of large cities around the world. Although current applications of camera networks are mostly li...
Agustin Alberto Ortega Jimenez, Bruno Dias, Ernest...
DEXA
2010
Springer
266views Database» more  DEXA 2010»
13 years 10 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
HICSS
2003
IEEE
124views Biometrics» more  HICSS 2003»
14 years 2 months ago
Identifying Transformer Incipient Events for Maintaining Distribution System Reliability
This paper presents the time domain and timefrequency domain analysis results of incipient events in single-phase distribution transformers. This analysis will aid in the developm...
Karen L. Butler-Purry, Mustafa Bagriyanik
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 9 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...