Jürgen Hönigl, Josef Küng,
"Obtaining a data quality index with respect to case bases"
: Vietnam Journal of Computer Science, Serie Lecture Notes in Computer Science (LNCS), Vol. 8648, Seite(n) 49-60, 11-2014
Original Titel:
Obtaining a data quality index with respect to case bases
Sprache des Titels:
Englisch
Original Buchtitel:
Vietnam Journal of Computer Science
Original Kurzfassung:
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.
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