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» Discovering Case Knowledge Using Data Mining
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ICDE
2010
IEEE
273views Database» more  ICDE 2010»
14 years 8 months ago
WikiAnalytics: Ad-hoc Querying of Highly Heterogeneous Structured Data
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
Andrey Balmin, Emiran Curtmola
PAMI
2006
127views more  PAMI 2006»
13 years 9 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
NIPS
1996
13 years 10 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
ICITA
2005
IEEE
14 years 2 months ago
Searching the Web: From Keywords to Semantic Queries
Within the emergent Semantic Web framework, the use of traditional web search engines based on keywords provided by the users is not adequate anymore. Instead, new methods based o...
José A. Royo, Eduardo Mena, Jorge Bernad, A...
HPDC
2003
IEEE
14 years 2 months ago
Flexible Information Discovery in Decentralized Distributed Systems
The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distri...
Cristina Schmidt, Manish Parashar