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98
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TMA
2010
Springer
206views Management» more  TMA 2010»
15 years 8 months ago
Collection and Exploration of Large Data Monitoring Sets Using Bitmap Databases
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
Luca Deri, Valeria Lorenzetti, Steve Mortimer
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Data prefetching for smooth navigation of large scale JPEG 2000 images
Remote access to large scale images arouses a growing interest in fields such as Medical Imagery or Remote Sensing. This raises the need for algorithms guaranteeing navigation sm...
Antonin Descampe, Jihong Ou, Philippe Chevalier, B...
MLDM
2005
Springer
15 years 6 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
GCC
2004
Springer
15 years 6 months ago
Trust Establishment in Large Scale Grid Settings
Trust establishment is hard in grid architecture by the ad hoc nature. To set up trust in large scale of network is more difficult. In this paper, we propose an automatic key manag...
Bo Zhu, Tieyan Li, Huafei Zhu, Mohan S. Kankanhall...
126
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DAWAK
2006
Springer
15 years 5 months ago
Efficient Mining of Large Maximal Bicliques
Abstract. Many real world applications rely on the discovery of maximal biclique subgraphs (complete bipartite subgraphs). However, existing algorithms for enumerating maximal bicl...
Guimei Liu, Kelvin Sim, Jinyan Li