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» Mining frequent itemsets in time-varying data streams
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PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
14 years 11 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
CIKM
2005
Springer
15 years 3 months ago
On the estimation of frequent itemsets for data streams: theory and experiments
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
15 years 3 months ago
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folksonomies. ...
Robert Jäschke, Andreas Hotho, Christoph Schm...
ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
15 years 3 months ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...
FIMI
2004
175views Data Mining» more  FIMI 2004»
14 years 11 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan