Identification of Patterns of Fatal Injuries in Humans through Big Data

Autor: Yaneth Herazo-Beltrán, Jack Zilberman, Jesús Silva, Ligia Romero, Omar Bonerge Pineda

Publikováno v: ANT/EDI40
Procedia Computer Science
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
UPC-Institucional
Universidad Peruana de Ciencias Aplicadas
instacron:UPC

External cause injuries are defined as intentionally or unintentionally harm or injury to a person, which may be caused by trauma, poisoning, assault, accidents, etc., being fatal (fatal injury) or not leading to death (non-fatal injury). External in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b73416a7c3fa689169d5c4b34b0162cc
https://doi.org/10.1016/j.procs.2020.03.114

Preservation of confidential information privacy and association rule hiding for data mining: a bibliometric review

Autor: Darwin Solano, Jenny Cubillos, Claudia Fernández, Jesus Vargas Villa, Jesús Silva, Ligia Romero

Publikováno v: ANT/EDI40
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa

In this era of technology, data of business organizations are growing with acceleration. Mining hidden patterns from this huge database would benefit many industries improving their decision-making processes. Along with the non-sensitive information,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf84573c87824685fe74dcf2208905a4
https://doi.org/10.1016/j.procs.2019.04.175

Classification of Academic Events from Their Textual Description

Autor: M. H. A. Jorge, Francisco Javier Echeverry, Maritza Herrera, Nicolas Elias Maria Santodomingo, Omar Bonerge Pineda Lezama, Ligia Romero, Jesús Silva

Publikováno v: Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811572333

The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::791ce70e7e6db45a2c6804f9e3dd92e0
https://doi.org/10.1007/978-981-15-7234-0_82

Algorithms for Crime Prediction in Smart Cities Through Data Mining

Autor: Roberto Jiménez González, Jesús Silva, Omar Larios, Alberto Manotas, Omar Bonerge Pineda Lezama, Ligia Romero, Fanny Barrantes

Publikováno v: Smart Innovation, Systems and Technologies ISBN: 9789811548741

The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number of criminal acts in Colomb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::313e287d220e06cec4a9fd4321fb7515
https://doi.org/10.1007/978-981-15-4875-8_45

Análisis de riesgos del uso de big data en ciencias de la computación

Autor: Jesús Silva, Darwin Solano, Claudia Fernández, Omar Bonerge Pineda Lezama, Ligia Romero

Publikováno v: REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
EUSPN/ICTH

Today, as technologies mature and people are encouraged to contribute data to organizations’ databases, more transactions are being captured than ever before. Meanwhile, improvements in data storage technologies have made the cost of evaluating, se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06da4d306a28ff5b045037bc9574346f
https://repositorio.cuc.edu.co/