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» Learning from Highly Structured Data by Decomposition
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CCGRID
2009
IEEE
15 years 11 months ago
Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The comp...
Lucas Mello Schnorr, Guillaume Huard, Philippe Oli...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
16 years 4 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
CIDR
2011
274views Algorithms» more  CIDR 2011»
14 years 7 months ago
Cloud Resource Orchestration: A Data-Centric Approach
Cloud computing provides users near instant access to seemingly unlimited resources, and provides service providers the opportunity to deploy complex information technology infras...
Yun Mao, Changbin Liu, Jacobus E. van der Merwe, M...
BMCBI
2010
97views more  BMCBI 2010»
15 years 4 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
IJON
2006
95views more  IJON 2006»
15 years 4 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...