Pattern Detection with Rare Item-set Mining
Software Engineering
2012-09-17 v1 Databases
Abstract
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.
Cite
@article{arxiv.1209.3089,
title = {Pattern Detection with Rare Item-set Mining},
author = {Mehdi Adda and Lei Wu and Sharon White and Yi Feng},
journal= {arXiv preprint arXiv:1209.3089},
year = {2012}
}
Comments
17 pages, 5 figures, International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), Vol.1, No.1, August 2012