Title :
Interaction as an Interestingness Measure
Author :
McGrane, Martin ; Poon, Simon K.
Author_Institution :
Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia
Abstract :
Detecting interesting patterns in data has been a focus of recent work in knowledge discovery. Understanding the patterns of interaction between attributes is relevant to many fields. Existing measures of interestingness do not adequately detect these interaction patterns. Here we present a new measure that explores the interactions to be found in data. We combine this interestingness measure with statistical validation to find reliable and interesting interactions.
Keywords :
data mining; statistical analysis; interaction rules; interesting pattern detection; knowledge discovery; statistical validation; interactions; interestingness; patterns;
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
DOI :
10.1109/ICDMW.2010.126
