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» Computing LTS Regression for Large Data Sets
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PODS
2006
ACM
134views Database» more  PODS 2006»
14 years 9 months ago
Finding global icebergs over distributed data sets
Finding icebergs ? items whose frequency of occurrence is above a certain threshold ? is an important problem with a wide range of applications. Most of the existing work focuses ...
Qi Zhao, Mitsunori Ogihara, Haixun Wang, Jun Xu
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
14 years 24 days ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 9 months ago
CONCISE: Compressed 'n' Composable Integer Set
Bit arrays, or bitmaps, are used to significantly speed up set operations in several areas, such as data warehousing, information retrieval, and data mining, to cite a few. Howeve...
Alessandro Colantonio, Roberto Di Pietro
CCGRID
2008
IEEE
14 years 3 months ago
Scalable Data Gathering for Real-Time Monitoring Systems on Distributed Computing
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
Yoshikazu Kamoshida, Kenjiro Taura
IH
2005
Springer
14 years 2 months ago
Data Hiding in Compiled Program Binaries for Enhancing Computer System Performance
Abstract. Information hiding has been studied in many security applications such as authentication, copyright management and digital forensics. In this work, we introduce a new app...
Ashwin Swaminathan, Yinian Mao, Min Wu, Krishnan K...