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RCIS
2010
15 years 2 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 1 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
WINE
2005
Springer
109views Economy» more  WINE 2005»
15 years 10 months ago
New Algorithms for Mining the Reputation of Participants of Online Auctions
The assessment of credibility and reputation of contractors in online auctions is the key issue in providing reliable environment for customer-to-customer e-commerce. Confident re...
Mikolaj Morzy
TVCG
2008
112views more  TVCG 2008»
15 years 4 months ago
Vispedia: Interactive Visual Exploration of Wikipedia Data via Search-Based Integration
Abstract-Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, nonuniform schema that require costly data integra...
Bryan Chan, Leslie Wu, Justin Talbot, Mike Cammara...
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 5 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...