PPCIC has research projects covering the different areas of activity of its faculty. The projects are divided among the research lines of the Program, according to the responsible professor.
Increasingly, organizations seek to analyze the growing number of data available to develop actions that bring competitive advantage and prominence in their field of activity. This process ranges from the correct collection and storage of data to their integration with information obtained from the Web. The data are associated with the organization’s planning, management and […] Continue reading →
The extraction of knowledge from data is an extremely important activity and demanded by several organizations existing in the business, government and scientific areas. The tasks of prediction, grouping, identification of patterns, anomalies and imputation are part of the set of research activities in this project. Much of the progress in data mining tasks is […] Continue reading →
This project aims to extract knowledge from different unstructured sources about a given domain. In text mining, information is usually obtained by identifying patterns and trends through statistical or machine learning from texts. In this way, the objective in this area focuses on representing texts in the vector space, developing classification algorithms and building applications […] Continue reading →
This project works in applied research in different areas of Computer Science, with a bias in the development of computational artifacts. In particular, the research carried out in this project appropriates techniques, approaches and methods of Data Science for the development of such artifacts. The treatment of the large volumes of data generated by the […] Continue reading →