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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 1 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
96
Voted
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 7 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
119
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ICDCS
2008
IEEE
15 years 7 months ago
PFC: Transparent Optimization of Existing Prefetching Strategies for Multi-Level Storage Systems
The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit the sequentia...
Zhe Zhang, Kyuhyung Lee, Xiaosong Ma, Yuanyuan Zho...
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
15 years 7 months ago
UCSpv: principled voting in UCS rule populations
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Gavin Brown, Tim Kovacs, James A. R. Marshall
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 7 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec