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» Massive Data Pre-Processing with a Cluster Based Approach
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CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 6 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
BMCBI
2007
265views more  BMCBI 2007»
13 years 6 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
FPL
2010
Springer
170views Hardware» more  FPL 2010»
13 years 4 months ago
IP Based Configurable SIMD Massively Parallel SoC
Significant advances in the field of configurable computing have enabled parallel processing within a single FieldProgrammable Gate Array (FPGA) chip. This paper presents the imple...
Mouna Baklouti, Mohamed Abid, Philippe Marquet, Je...
TCSV
2010
13 years 1 months ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
BMCBI
2010
153views more  BMCBI 2010»
13 years 6 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...