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» Models and Issues in Data Stream Systems
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DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 1 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
WWW
2004
ACM
15 years 10 months ago
Internet delivery of meteorological and oceanographic data in wide area naval usage environments
Access and retrieval of meteorological and oceanographic data from heterogeneous sources in a distributed system presents many issues. Effective bandwidth utilization is important...
Udaykiran Katikaneni, Roy Ladner, Frederick E. Pet...
98
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FGCS
2002
153views more  FGCS 2002»
14 years 9 months ago
HARNESS fault tolerant MPI design, usage and performance issues
Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to suppor...
Graham E. Fagg, Jack Dongarra
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
15 years 4 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...