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APCCM
2006
15 years 8 months ago
Defining and implementing domains with multiple types using mesodata modelling techniques
The integration of data from different sources often leads to the adoption of schemata that entail a loss of information in respect of one or more of the data sets being combined....
Sally Rice, John F. Roddick, Denise de Vries
PADL
2009
Springer
16 years 7 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan
DMKD
2000
ACM
110views Data Mining» more  DMKD 2000»
15 years 11 months ago
Combining Strategies for Extracting Relations from Text Collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Eleazar Eskin, Luis Gravano
PAMI
2006
127views more  PAMI 2006»
15 years 7 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
CVPR
2007
IEEE
16 years 9 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...