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FIMI
2004
175views Data Mining» more  FIMI 2004»
13 years 10 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
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
13 years 10 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
MSR
2005
ACM
14 years 2 months ago
Mining evolution data of a product family
Diversiļ¬cation of software assets through changing requirements impose a constant challenge on the developers and maintainers of large software systems. Recent research has addr...
Michael Fischer, Johann Oberleitner, Jacek Ratzing...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
AIME
2009
Springer
14 years 3 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...