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» Knowledge Discovery by Network Visualization
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PREMI
2005
Springer
14 years 1 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»
14 years 8 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
IEEESCC
2009
IEEE
14 years 2 months ago
Context Aware Middleware Architecture for Wireless Sensor Network
Wireless sensor networks are application specific, data centric networks where different applications run on deployed network. Each application interprets the underlying sensor n...
Pankesh Patel, Sunil Jardosh, Sanjay Chaudhary, Pr...
IUI
2005
ACM
14 years 1 months ago
The centrality of pivotal points in the evolution of scientific networks
In this paper, we describe the development of CiteSpace as an integrated environment for identifying and tracking thematic trends in scientific literature. The goal is to simplify...
Chaomei Chen
KES
2010
Springer
13 years 6 months ago
Extracting a Keyword Network of Flood Disaster Measures
For rapid and effective recovery from a flood disaster, an anti-disaster headquarters must not only assess the extent of damage, but also possess overall knowledge of the possibl...
Motoki Miura, Mitsuhiro Tokuda, Daiki Kuwahara