Title :
A tool to manage low quality datasets
Author :
Cadenas, José M. ; Garrido, M. Carmen ; Martínez, Raquel
Author_Institution :
Dept. of Eng. Inf. & Commun., Univ. of Murcia, Murcia, Spain
Abstract :
Nowadays in the world of Soft Computing there is a new challenge which consists of working with low quality data. To test the techniques that are designed in this area, there is the need for repositories of low quality datasets. Currently we can find various data mining techniques that are designed to handle some kind of low quality data. But, as far as we get our knowledge, it has not yet designed a software tool focused on the creation/management of low quality datasets that will help us to create repositories to facilitate the testing and comparison of the above techniques. We present in this paper a software tool which can create/manage low quality data. Even if a technique doesn´t manage low quality data, the tool permits to transform the low quality data by other data that technique can manage.
Keywords :
data mining; fuzzy logic; software tools; data mining techniques; low quality datasets; soft computing; software tool; Data mining; Instruments; Noise; Partitioning algorithms; Software tools; Standards; Uncertainty; Soft Computing; low quality data; software tool for Soft Computing;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251223