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» A Data Stream Mining System
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DBVIS
1993
101views Database» more  DBVIS 1993»
15 years 10 months ago
Using Visualization to Support Data Mining of Large Existing Databases
In this paper, we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provid...
Daniel A. Keim, Hans-Peter Kriegel
ISCAS
2011
IEEE
342views Hardware» more  ISCAS 2011»
14 years 9 months ago
Parallel Dynamic Voltage and Frequency Scaling for stream decoding using a multicore embedded system
—Parallel structures may be used to increase a system processing speed in case of large amount of data or highly complex calculations. Dynamic Voltage and Frequency Scaling (DVFS...
Ying-Xun Lai, Yueh-Min Huang, Chin-Feng Lai, Ljilj...
BMCBI
2005
99views more  BMCBI 2005»
15 years 6 months ago
CGH-Profiler: Data mining based on genomic aberration profiles
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
HPDC
2000
IEEE
15 years 10 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan
ADMA
2005
Springer
143views Data Mining» more  ADMA 2005»
15 years 11 months ago
A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS)
: Artificial Immune Systems are a new class of algorithms inspired by how the immune system recognizes, attacks and remembers intruders. This is a fascinating idea, but to be accep...
Lingjun Meng, Peter van der Putten, Haiyang Wang