AUTHOR(S):

Argyro Lekka, Eirini Kalogera, Marios Poulos

TITLE

Evaluation on Services of Public Library Using Supervised Classification System

KEYWORDS

Neural Network, learning Systems, Data mining

ABSTRACT

This paper considers the case of a public library evaluation. To achieve this aim ISO standard indicators, which were adapted to MOPAB indicators, are used. A total of seven (7) indicators were used. The purpose of this work is to make a comprehensive assessment of the indicators, using the expert’s opinion. The formulation of the above is obtained via a Supervised Classification System. The results of this embodiment have shown that the success rate outnumbered 99%. Therefore, the above percentage demonstrates that this method can reliably and safely be used for evaluation of a Public Library.

Cite this paper

Argyro Lekka, Eirini Kalogera, Marios Poulos. (2016) Evaluation on Services of Public Library Using Supervised Classification System. International Journal of Internet of Things and Web Services, 1, 50-56