Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
Set-valued attributes frequently occur in contexts like marketbasked analysis and stock market trends. Late research literature has mainly focused on set containment joins and dat...
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...
Large software projects often require a programmer to make changes to unfamiliar source code. This paper describes a set of tools, called Team Tracks, designed to ease program com...
Robert DeLine, Mary Czerwinski, George G. Robertso...