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» Efficient Discovery of Confounders in Large Data Sets
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
CAINE
2009
15 years 4 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
CVPR
2006
IEEE
16 years 8 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick
BMCBI
2006
113views more  BMCBI 2006»
15 years 6 months ago
QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
ISBRA
2010
Springer
16 years 19 days ago
Uncovering Hidden Phylogenetic Consensus
Abstract. Many of the steps in phylogenetic reconstruction can be confounded by “rogue” taxa, taxa that cannot be placed with assurance anywhere within the tree—whose locatio...
Nicholas D. Pattengale, Krister M. Swenson, Bernar...