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» Clustering by pattern similarity in large data sets
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TPHOL
2009
IEEE
16 years 1 months ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler
186
Voted
BMCBI
2008
140views more  BMCBI 2008»
15 years 6 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
WSDM
2012
ACM
329views Data Mining» more  WSDM 2012»
14 years 2 months ago
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data
A prerequisite for leveraging the vast amount of data available on the Web is Entity Resolution, i.e., the process of identifying and linking data that describe the same real-worl...
George Papadakis, Ekaterini Ioannou, Claudia Niede...
PR
2008
228views more  PR 2008»
15 years 6 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
16 years 24 days ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak