Resumen

LOZADA GOMEZ, José Adolfo  y  ARANA SANCHES, Esmeralda Yennifer. Data Exploration & Book's System Recommendation. Rev. Inv. Est. I. [online]. 2020, vol.12, n.1, pp. 35-46. ISSN 2415-2323.

Abstract This research was carried out with the intention of appiying the knowledge acquired from the área of Machine Learning in the publication of books on the web. The objective was to analyze the properties of each book (most read books, most consulted authors and average rating of an author or book) and the relationships they may have within a data set. Based on the analysis, add a recommendation system for user use. The methodology used was quantitative non-experimental research design type of correlational study. The results were that using Machine Learning it was possible to analyze the data and thus be able to provide a recommendation system.

Palabras llave : Data analysis; Data relations; Kmeans Clustering; KNN..