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» Mining Sequential Patterns Using Graph Search Techniques
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SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
13 years 8 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
ICDM
2008
IEEE
129views Data Mining» more  ICDM 2008»
14 years 3 months ago
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
Roberto Trasarti, Francesco Bonchi, Bart Goethals
DAWAK
2009
Springer
14 years 13 days ago
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
C. I. Ezeife, Dan Zhang
UIST
2009
ACM
14 years 3 months ago
Relaxed selection techniques for querying time-series graphs
Time-series graphs are often used to visualize phenomena that change over time. Common tasks include comparing values at different points in time and searching for specified patte...
Christian Holz, Steven Feiner
ICPADS
2006
IEEE
14 years 2 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane