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BMCBI
2010
95views more  BMCBI 2010»
15 years 6 months ago
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso
Background: Single nucleotide polymorphism (SNP) based association studies aim at identifying SNPs associated with phenotypes, for example, complex diseases. The associated SNPs m...
Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichua...
CSL
2009
Springer
16 years 1 months ago
Enriching an Effect Calculus with Linear Types
We define an “enriched effect calculus” by extending a type theory for computational effects with primitives from linear logic. The new calculus, which generalises intuitionis...
Jeff Egger, Rasmus Ejlers Møgelberg, Alex S...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
MOBICOM
2004
ACM
15 years 12 months ago
Broadcast reception rates and effects of priority access in 802.11-based vehicular ad-hoc networks
One key usage of VANET is to support vehicle safety applications. This use case is characterized by the prominence of broadcasts in scaled settings. In this context, we try to ans...
Marc Torrent-Moreno, Daniel Jiang, Hannes Hartenst...
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 12 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...