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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 10 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
RECOMB
2010
Springer
14 years 4 months ago
The Clark Phase-able Sample Size Problem: Long-Range Phasing and Loss of Heterozygosity in GWAS
A phase transition is taking place today. The amount of data generated by genome resequencing technologies is so large that in some cases it is now less expensive to repeat the exp...
Bjarni V. Halldórsson, Derek Aguiar, Ryan T...
ICALP
2009
Springer
14 years 10 months ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 10 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
IPSN
2005
Springer
14 years 3 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama