2012/09/14 by Mehdi Adda, Lei Wu, Adda, Mehdi +5
Computer Science · #Databases (cs.DB) #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.DB #cs.SE
paper · pdf · doi:10.48550/arxiv.1209.3089
17 pages, 5 figures, International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), Vol.1, No.1, August 2012
arxiv created 2012/09/14 · arxiv updated 2012/09/17
The discovery of new and interesting patterns in large datasets, known as data mining, draws more and more interest as the quantities of available data are exploding. Data mining techniques may be applied to different domains and fields such as computer science, health sector, insurances, homeland security, banking and finance, etc. In this paper we are interested by the discovery of a specific category of patterns, known as rare and non-present patterns. We present a novel approach towards the discovery of non-present patterns using rare item-set mining.