TY - GEN
T1 - Preventing drowning in information
T2 - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
AU - Carillo, Alexis Miranda
AU - Loza-Aguirre, Edison
AU - Montenegro, Carlos
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Information overload lead managers to not adequately use the relevant information they collect in Strategic Scanning. Such information comes in small pieces of that are dispersed in terms of time, language, and sources. These characteristics of information from Strategic Scanning usually prevent to identify connections with the previously collected information. In this paper, we propose an alternate tool for dealing with this issue by using topic analysis techniques. The tool provides a quick reading interface, in which the proximity relationship between various s can be easily visualized. We compare our tool with two mechanisms for clustering and proximity measurement. Our tool excelled in terms of execution time and of the pertinence of results.
AB - Information overload lead managers to not adequately use the relevant information they collect in Strategic Scanning. Such information comes in small pieces of that are dispersed in terms of time, language, and sources. These characteristics of information from Strategic Scanning usually prevent to identify connections with the previously collected information. In this paper, we propose an alternate tool for dealing with this issue by using topic analysis techniques. The tool provides a quick reading interface, in which the proximity relationship between various s can be easily visualized. We compare our tool with two mechanisms for clustering and proximity measurement. Our tool excelled in terms of execution time and of the pertinence of results.
KW - graph theory
KW - information proximity
KW - strategic scanning
KW - Topic analysis
UR - https://www.scopus.com/pages/publications/85113353509
U2 - 10.1109/CSCI51800.2020.00253
DO - 10.1109/CSCI51800.2020.00253
M3 - Contribución a la conferencia
AN - SCOPUS:85113353509
T3 - Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
SP - 1359
EP - 1364
BT - Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 December 2020 through 18 December 2020
ER -