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EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 1 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...
CIKM
2009
Springer
14 years 2 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...
Nizar R. Mabroukeh, Christie I. Ezeife
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
14 years 1 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
14 years 2 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
IAT
2006
IEEE
14 years 1 months ago
Crime Pattern Detection Using Data Mining
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes f...
Shyam Varan Nath