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» Mining Very Large Databases
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125
Voted
VLDB
2007
ACM
139views Database» more  VLDB 2007»
15 years 9 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Mingxi Wu, Chris Jermaine
153
Voted
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
15 years 9 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
128
Voted
DEXAW
2002
IEEE
117views Database» more  DEXAW 2002»
15 years 8 months ago
Semantic Web and Knowledge Representation
In this paper, we suggest that it should be possible to come closer to the Semantic Web goals by enhancing the ontology paradigm and, in particular, by supplementing the ‘tradit...
Gian Piero Zarri
113
Voted
DEXAW
2009
IEEE
135views Database» more  DEXAW 2009»
15 years 7 months ago
Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder
Idiopathic chronic pain disorders constitude a large, clinically important health care problem that urgently needs deeper pathophysiological insight. The understanding which brain ...
Annahita Oswald, Bianca Wackersreuther
123
Voted
BTW
2009
Springer
90views Database» more  BTW 2009»
15 years 7 months ago
Streaming Web Services and Standing Processes
: Today, service orientation is a well established concept in modern IT infrastructures. Web services and WS-BPEL as the two key technologies handle large structured data sets very...
Steffen Preissler, Hannes Voigt, Dirk Habich, Wolf...