tailieunhanh - Obtaining a data quality index with respect to case bases

In this paper, an overview of the CBRrelated 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. | Vietnam J Comput Sci 2015 2 47-56 DOI s40595-014-0030-9 REGULAR PAPER Obtaining a data quality index with respect to case bases Jurgen Honigl Josef Kung Received 14 June 2014 Accepted 24 August 2014 Published online 11 September 2014 The Author s 2014. This article is published with open access at 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. Keywords Big data Case-based reasoning Data quality Expert systems 1 Introduction Within this section the introduction was divided into several parts to demonstrate the motivation a few statements about CBR and an outline. J. Honigl B J. Kung Institute for Application-Oriented Knowledge Processing Johannes Kepler University Linz Austria e-mail J. Kung e-mail Noteworthy this paper extends with various aspects a preliminary version which appeared as 12 . These extensions can be seen in the related work section when considering the data quality criteria given by 21 an attached section number 7 .