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» A New Approach to Protein Structure Mining and Alignment
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CSE
2009
IEEE
14 years 3 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
ACML
2009
Springer
14 years 3 months ago
Injecting Structured Data to Generative Topic Model in Enterprise Settings
Enterprises have accumulated both structured and unstructured data steadily as computing resources improve. However, previous research on enterprise data mining often treats these ...
Han Xiao, Xiaojie Wang, Chao Du
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 9 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
BMCBI
2008
87views more  BMCBI 2008»
13 years 8 months ago
Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfa
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Salim Bougouffa, Jim Warwicker