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ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 10 months ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
SAINT
2003
IEEE
15 years 9 months ago
Bayesian Analysis of Online Newspaper Log Data
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
ICCL
1998
IEEE
15 years 8 months ago
Controlled Self-Applicable On-Line Partial Evaluation, Using Strategies
On-line partial evaluators are hardly ever selfapplicable, because the complexity of deciding whether to residualize terms causes combinatorial explosion when self-application is ...
M. Beckman, Samuel N. Kamin
ETS
2007
IEEE
128views Hardware» more  ETS 2007»
15 years 6 months ago
Selecting Power-Optimal SBST Routines for On-Line Processor Testing
Software-Based Self-Test (SBST) has emerged as an effective strategy for on-line testing of processors integrated in non-safety critical embedded system applications. Among the mo...
Andreas Merentitis, Nektarios Kranitis, Antonis M....
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 4 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay