Title :
A new indicator for measurement of the quality of computational results based on statistical properties
Author :
Monge, Ricardo E. ; Crespo, Juan L.
Author_Institution :
Escuela de Cienc. de la Comput. e Inf., Univ. de Costa Rica, San Jose, Costa Rica
Abstract :
This paper explores different techniques which can be used to assess the quality of data resulting from computational processes and algorithms. The objective is to develop a numerical index of quality that would permit establishing a direct comparison between a variety of methods and computational techniques. A short summary of previous work is included, followed by the proposal (Section III) of the index of quality based on the interpretation of statistical properties and conditions. The fourth section is composed of a sample calculation of the Statistical Index of Quality, followed by the analysis of eight sample cases (Section V). This work is part of a broader study regarding the usage of bioinspired intelligence for the analysis of human DNA.
Keywords :
DNA; biological techniques; biology computing; data integrity; numerical analysis; statistical analysis; bioinspired intelligence; computational algorithm; computational processes; computational technique; data quality measurement; human DNA analysis; numerical quality index; statistical condition; statistical property; statistical quality index; Approximation methods; Computer aided software engineering; Error analysis; Indexes; Probabilistic logic; Probability distribution; Proposals; DNA Analysis; Data quality; numerical evaluation of quality;
Conference_Titel :
Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on
Conference_Location :
San Sebastian
Print_ISBN :
978-1-4673-7845-1
DOI :
10.1109/IWOBI.2015.7160146
