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» Random Sampling from Database Files: A Survey
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VLDB
2000
ACM
155views Database» more  VLDB 2000»
13 years 11 months ago
ICICLES: Self-Tuning Samples for Approximate Query Answering
Approximate query answering systems provide very fast alternatives to OLAP systems when applications are tolerant to small errors in query answers. Current sampling-based approach...
Venkatesh Ganti, Mong-Li Lee, Raghu Ramakrishnan
IVC
2008
141views more  IVC 2008»
13 years 7 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
CIARP
2009
Springer
13 years 5 months ago
K-Medoids-Based Random Biometric Pattern for Cryptographic Key Generation
In this paper we report an approach for cryptographic key generation based on keystroke dynamics and the k-medoids algorithm. The stages that comprise the approach are training-enr...
H. A. Garcia-Baleon, Vicente Alarcón Aquino...
SAC
2010
ACM
13 years 6 months ago
Host-IP clustering technique for deep web characterization
—A huge portion of todays Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov, Tapio Salakoski