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PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
13 years 7 months ago
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
KDID
2004
137views Database» more  KDID 2004»
13 years 7 months ago
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Emerging patterns (EPs) are associations of features whose frequencies increase significantly from one class to another. They have been proven useful to build powerful classifiers ...
Arnaud Soulet, Bruno Crémilleux, Fran&ccedi...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 6 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen