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» An Iterative Method for Mining Frequent Temporal Patterns
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PVLDB
2010
112views more  PVLDB 2010»
13 years 7 months ago
On Triangulation-based Dense Neighborhood Graphs Discovery
This paper introduces a new definition of dense subgraph pattern, the DN-graph. DN-graph considers both the size of the sub-structure and the minimum level of interactions betwee...
Nan Wang, Jingbo Zhang, Kian-Lee Tan, Anthony K. H...
WWW
2008
ACM
14 years 9 months ago
Scaling RDF with time
The World Wide Web Consortium's RDF standard primarily consists of (subject,property,object) triples that specify the value that a given subject has for a given property. How...
Andrea Pugliese, Octavian Udrea, V. S. Subrahmania...
JUCS
2010
164views more  JUCS 2010»
13 years 7 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
CIKM
2005
Springer
14 years 2 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
PVLDB
2010
132views more  PVLDB 2010»
13 years 7 months ago
CoDA: Interactive Cluster Based Concept Discovery
Large data resources are ubiquitous in science and business. For these domains, an intuitive view on the data is essential to fully exploit the hidden knowledge. Often, these data...
Stephan Günnemann, Ines Färber, Hardy Kr...