Obtaining a data quality index with respect to case bases

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Abstract

Within case-based reasoning (CBR), terms concerning quality of a case base are mentioned in publications, but partially without clarifications of criteria. When developing a CBR system from scratch, an index for case base quality supports an assessment of the actual cases. In this approach, both theory and an application are demonstrated. An index was defined and subsequently applied within a proof of concept. In addition, various approaches concerning case base quality are demonstrated. Big data occur within a combination of high velocity, great volume and variety of incoming data. New cases are suitable if they are referring to an economic value. Defining an index to measure the case base quality copes with that. In this paper, an overview of the CBR-related index towards the big picture regarding data quality can be seen. To demonstrate weighting, concrete invocations of the defined subindices are itemized with respect to applied data sets. This paper depicts a generic easy-to-use index with respect to case bases.
Original languageEnglish
Title of host publicationVietnam Journal of Computer Science
Pages49-60
Number of pages11
Volume8648
Publication statusPublished - Nov 2014

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 202007 Computer integrated manufacturing (CIM)
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management

JKU Focus areas

  • Computation in Informatics and Mathematics

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