Open AccessData mining and management information systems
Author(s) -
Esther Marina Ruiz-Lobaina,
Pedro Lázaro Romero-Suárez
Publication year - 2018
Publication title -
revista facultad de ingeniería/revista facultad de ingeniería
Language(s) - English
Resource type - Journals
eISSN - 2357-5328
pISSN - 0121-1129
DOI - 10.19053/01211129.v27.n47.2018.7857
Subject(s) - computer science , cluster analysis , data mining , information retrieval , data science , information system , information management , database , engineering , artificial intelligence , electrical engineering
This paper studies the patterns found using clustering and Self Organizing Maps (SOM), both techniques of Data Mining (DM), and after searching in databases, it compares them with the results retrieved from the libraries Information Management System (SGI). The methodology created for this study uses the results from both processes to improve the database information, which simultaneously increases the performance of the associated SGI search engine, and allows creating, with the gathered information, a new product that enrich the Selective Dissemination of Information (SDI).