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» Business Process Understanding: Mining Many Datasets
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BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
BMCBI
2011
13 years 2 months ago
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
Background: Visualization of orthogonal (disjoint) or overlapping datasets is a common task in bioinformatics. Few tools exist to automate the generation of extensively-customizab...
Hanbo Chen, Paul C. Boutros
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 3 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
CICLING
2009
Springer
13 years 11 months ago
Language Identification on the Web: Extending the Dictionary Method
Abstract. Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effecti...
Radim Rehurek, Milan Kolkus
IDA
2003
Springer
14 years 21 days ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu