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ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
16 years 20 days 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
16 years 10 days 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 11 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 8 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 7 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