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VLDB
2005
ACM
87views Database» more  VLDB 2005»
15 years 5 months ago
NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
ICASSP
2011
IEEE
14 years 3 months ago
Robust GNSS signal detection in the presence of navigation data bits
This paper considers the problem of weak signal detection in the presence of navigation data bits for Global Navigation Satellite System (GNSS) receivers. Typically, a set of part...
J. Chandrasekhar, Chandra R. Murthy
ICPR
2008
IEEE
15 years 6 months ago
Point-of-interest detection for range data
Point-of-interest detection is a way of reducing the amount of data that needs to be processed in a certain application and is widely used in 2D image analysis. In 2D image analys...
Fredrik Vikstén, Klas Nordberg, Mikael Kalm...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
15 years 1 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
OWLED
2008
15 years 1 months ago
Characterizing and Detecting Integrity Issues in OWL Instance Data
We view OWL instance data evaluation as a process in which instance data is checked for conformance with application requirements. We previously identified some integrity issues ra...
Jiao Tao, Li Ding, Jie Bao, Deborah L. McGuinness