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

fYear

2015

fDate

10-12 June 2015

Firstpage

67

Lastpage

72

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on

Conference_Location

San Sebastian

Print_ISBN

978-1-4673-7845-1

Type

conf

DOI

10.1109/IWOBI.2015.7160146

Filename

7160146