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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 7 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
142
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IPSN
2007
Springer
15 years 6 months ago
Hierarchical spatial gossip for multi-resolution representations in sensor networks
In this paper we propose a lightweight algorithm for constructing multi-resolution data representations for sensor networks. We compute, at each sensor node u, O(log n) aggregates...
Rik Sarkar, Xianjin Zhu, Jie Gao
143
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BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
104
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CCS
2006
ACM
15 years 4 months ago
Secure hierarchical in-network aggregation in sensor networks
In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algorithms assume that all intermediate nodes are trusted...
Haowen Chan, Adrian Perrig, Dawn Xiaodong Song
BMCBI
2010
109views more  BMCBI 2010»
15 years 24 days ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...