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IJCNN
2008
IEEE
15 years 9 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
ISMB
1994
15 years 3 months ago
High Speed Pattern Matching in Genetic Data Base with Reconfigurable Hardware
Homologydetection in large data bases is probably the most time consuming operation in molecular genetic computing systems. Moreover, the progresses made all around the world conc...
Eric Lemoine, Joël Quinqueton, Jean Sallantin
BMCBI
2008
81views more  BMCBI 2008»
15 years 2 months ago
A perspective for biomedical data integration: Design of databases for flow cytometry
Background: The integration of biomedical information is essential for tackling medical problems. We describe a data model in the domain of flow cytometry (FC) allowing for massiv...
John Drakos, Marina Karakantza, Nicholas C. Zoumbo...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 3 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
110
Voted
GRAPHITE
2006
ACM
15 years 8 months ago
Two-stage compression for fast volume rendering of time-varying scalar data
This paper presents a two-stage compression method for accelerating GPU-based volume rendering of time-varying scalar data. Our method aims at reducing transfer time by compressin...
Daisuke Nagayasu, Fumihiko Ino, Kenichi Hagihara