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134
Voted
CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
138
click to vote
CIKM
2008
Springer
15 years 6 months ago
2008
Springer
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
151
Voted
CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Background: Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population g...
134
Voted
KDD
2010
ACM
15 years 6 months ago
2010
ACM
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
131
Voted
KDD
2010
ACM
15 years 6 months ago
2010
ACM
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particular...