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134
Voted
KDD
2009
ACM
16 years 3 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
168
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
214
Voted
SIGMOD
2009
ACM
16 years 3 months ago
2009
ACM
Cell phones are increasingly being used as common clients for a wide suite of distributed, database-centric healthcare applications in developing regions. This is particularly tru...
228
Voted
SIGMOD
2008
ACM
16 years 3 months ago
2008
ACM
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
142
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...