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» Exploiting Visualization in Knowledge Discovery
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EKAW
2006
Springer
15 years 1 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
EUROPAR
2006
Springer
15 years 1 months ago
Model-Based Performance Diagnosis of Master-Worker Parallel Computations
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of program inefficiency. Proposed is an approach that exploits parallel computation...
Li Li, Allen D. Malony
PREMI
2005
Springer
15 years 3 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 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
WWW
2011
ACM
14 years 5 months ago
OntoTrix: a hybrid visualization for populated ontologies
Most Semantic Web data visualization tools structure the representation according to the concept definitions and interrelations that constitute the ontology’s vocabulary. Insta...
Benjamin Bach, Emmanuel Pietriga, Ilaria Liccardi,...