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KAIS
2008
150views more  KAIS 2008»
15 years 5 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
SDM
2012
SIAM
273views Data Mining» more  SDM 2012»
13 years 8 months ago
A Framework for the Evaluation and Management of Network Centrality
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a node as a function of the (shortest) paths of the network that go through it. Exi...
Vatche Ishakian, Dóra Erdös, Evimaria ...
159
Voted
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 10 days ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
161
Voted
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
16 years 7 days ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
15 years 9 months ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...