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» Dagma: Mining Directed Acyclic Graphs
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IADIS
2008
13 years 11 months ago
Dagma: Mining Directed Acyclic Graphs
We present how to efficiently mine a set of directed acyclic graphs (DAGs) for unconnected, both multi- or single-rooted, and induced fragments. With a new canonical form that is ...
T. Werth, A. Dreweke, Marc Wörlein, Ingrid Fi...
WAIM
2004
Springer
14 years 3 months ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
RSFDGRC
2005
Springer
117views Data Mining» more  RSFDGRC 2005»
14 years 3 months ago
Dependency Bagging
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Z...
PVLDB
2010
146views more  PVLDB 2010»
13 years 4 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
14 years 4 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...