Estas en:

A systematic review of data quality issues in knowledge discovery tasks

TítuloA systematic review of data quality issues in knowledge discovery tasks
Tipo de PublicaciónJournal Article
Nuevas Publicaciones2016
AutoresCorrales, D. C., Ledezma A., & Corrales J. C.
JournalRevista Ingenierías Universidad de Medellín
Volumen15
Start Page125-150
ISBN1692-3324
Palabras claveamount of data, heterogeneity, incompleteness, inconsistency, noise, outliers, redundancy, timeliness
Resumen

Large volume of data is growing because the organizations are continuously capturing the collective amount of data for better decision-making process. The most fundamental challenge is to explore the large volumes of data and extract useful knowledge for future actions through knowledge discovery tasks, nevertheless many data has poor quality. We presented a systematic review of the data quality issues in knowledge discovery tasks and a case study applied to agricultural disease named coffee rust.

URLhttp://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242016000100008
DOI10.22395/rium.v15n28a7

El departamento de Telemática pertenece a:

Universidad del Cauca | Calle 5 No. 4-70 | Telefax (+57 2)823 2955 | fiet_tm@unicauca.edu.co
Popayán - Colombia