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AUSAI
2001
Springer
14 years 10 days ago
Further Pruning for Efficient Association Rule Discovery
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
Songmao Zhang, Geoffrey I. Webb
NLE
2008
77views more  NLE 2008»
13 years 8 months ago
Generating basic skills reports for low-skilled readers
We describe SkillSum, a Natural Language Generation (NLG) system that generates a personalised feedback report for someone who has just completed a screening assessment of their b...
Sandra Williams, Ehud Reiter
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
14 years 2 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...
VLDB
2005
ACM
125views Database» more  VLDB 2005»
14 years 2 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
IDEAL
2003
Springer
14 years 1 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis