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APPT
2005
Springer
16 years 11 days ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
CINQ
2004
Springer
131views Database» more  CINQ 2004»
16 years 7 days ago
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
Artur Bykowski, Jouni K. Seppänen, Jaakko Hol...
ESWS
2010
Springer
15 years 11 months ago
LESS - Template-Based Syndication and Presentation of Linked Data
Recently, the publishing of structured, semantic information as linked data has gained quite some momentum. For ordinary users on the Internet, however, this information is not yet...
Sören Auer, Raphael Doehring, Sebastian Dietz...
FCCM
2000
IEEE
144views VLSI» more  FCCM 2000»
15 years 11 months ago
Automatic Synthesis of Data Storage and Control Structures for FPGA-Based Computing Engines
Mapping computations written in high-level programming languages to FPGA-based computing engines requires programmers to generate the datapath responsible for the core of the comp...
Pedro C. Diniz, Joonseok Park
IADIS
2008
15 years 8 months ago
Towards A Model-Driven Engineering Approach of Data Mining
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Jesús Pardillo, José Jacobo Zubcoff,...