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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 11 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
RV
2009
Springer
155views Hardware» more  RV 2009»
15 years 11 months ago
Hardware Supported Flexible Monitoring: Early Results
Monitoring of software’s execution is crucial in numerous software development tasks. Current monitoring efforts generally require extensive instrumentation of the software or d...
Antonia Zhai, Guojin He, Mats Per Erik Heimdahl
ER
1997
Springer
145views Database» more  ER 1997»
15 years 11 months ago
Enterprise Knowledge Management and Conceptual Modelling
Turbulence is in the nature of business environments. Changes brought about because of different requirements such as social, political, technical and economic, exert pressures on ...
Pericles Loucopoulos, Vagelio Kavakli
CIKM
2008
Springer
15 years 8 months ago
Pairwise statistical significance of local sequence alignment using multiple parameter sets
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...
Ankit Agrawal, Xiaoqiu Huang
CIDR
2007
141views Algorithms» more  CIDR 2007»
15 years 8 months ago
Fragmentation in Large Object Repositories
Fragmentation leads to unpredictable and degraded application performance. While these problems have been studied in detail for desktop filesystem workloads, this study examines n...
Russell Sears, Catharine van Ingen