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» PRICES: An Efficient Algorithm for Mining Association Rules
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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
WWW
2009
ACM
14 years 8 months ago
Deducing trip related information from flickr
Uploading tourist photos is a popular activity on photo sharing platforms. These photographs and their associated metadata (tags, geo-tags, and temporal information) should be use...
Adrian Popescu, Gregory Grefenstette
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
14 years 8 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
DKE
2008
124views more  DKE 2008»
13 years 7 months ago
A MaxMin approach for hiding frequent itemsets
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
George V. Moustakides, Vassilios S. Verykios
ISCI
2008
166views more  ISCI 2008»
13 years 7 months ago
Incremental and interactive mining of web traversal patterns
Web mining involves the application of data mining techniques to large amounts of web-related data in order to improve web services. Web traversal pattern mining involves discover...
Yue-Shi Lee, Show-Jane Yen