Application of Crowdsourcing to Generate Datasets

The book discusses the application of Crowdsourcing in data collection highlighting its effectiveness in generating data sets. Although there was a lack of a general guide or method for this purpose, the author compiled elements from several studies to propose a proprietary method that can generate accurate data sets, highlighting that human participation introduces some errors that are corrected by an evolutionary algorithm that implements data quality control. To deploy the proposed method, a web application was developed to support it and data from the Electronic Public Procurement System in Colombia (SECOP) was used, which stands out as a valuable source, even more complete than that of some European Union countries. In summary, the book provides answers to how to generate datasets of public procurement processes using Crowdsourcing, although it points out the need to address quality issues in such datasets in future work.

Autorentext

Andrés Rey Piedrahita. In ynier elektronik z Universidad Autónoma de Occidente (UAO). Magister in ynierii telematycznej na Uniwersytecie w Vigo. Magister in ynier z naciskiem na informatyk (UAO). Doktor in ynierii, profesor w Central Unit of Valle del Cauca (UCEVA), zainteresowania badawcze: modelowanie obliczeniowe i symulacja.