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» New Algorithms for Statistical Analysis of Interval Data
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ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 6 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
RECOMB
2002
Springer
16 years 4 days ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 4 months ago
Towards the Personalization of Algorithms Evaluation in Data Mining
Like model selectionin statistics,the choiceof appropriate Data Mining Algorithms (DM-Algorithms) is a very importanttask in the processof KnowledgeDiscovery.Due to this fact it i...
Gholamreza Nakhaeizadeh, Alexander Schnabl
BMCBI
2010
151views more  BMCBI 2010»
14 years 12 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
NCA
2003
IEEE
15 years 5 months ago
A Study of Providing Statistical QoS in a Differentiated Sevices Network
In this paper, we propose and analyze a methodology for providing statistical guarantees within the diffserv model in a network, that uses static-priority schedulers. We extend th...
Shengquan Wang, Dong Xuan, Riccardo Bettati, Wei Z...