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» On the Complexity of Mining Association Rules
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 3 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
LREC
2010
168views Education» more  LREC 2010»
13 years 10 months ago
Formal Description of Resources for Ontology-based Semantic Annotation
Ontology-based semantic annotation aims at putting fragments of a text in correspondence with proper elements of an ontology such that the formal semantics encoded by the ontology...
Yue Ma, Adeline Nazarenko, Laurent Audibert
EDBT
2009
ACM
138views Database» more  EDBT 2009»
14 years 3 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
13 years 10 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
WWW
2009
ACM
14 years 9 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...