A systematic review of data quality issues in knowledge discovery tasks Articles uri icon

publication date

  • June 2016

start page

  • 125

end page

  • 150

issue

  • 18

volume

  • 15

international standard serial number (ISSN)

  • 1692-3324

electronic international standard serial number (EISSN)

  • 2248-4094

abstract

  • Large volume of data is growing because organizations are continuously capturing the collective amount of data for a 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.