PPCIC has several research projects encompassing the different areas where its faculty members act. The projects are divided into PPCIC’s research areas, according to the responsible professor.
Increasingly, organizations seek to analyze the increasing number of data available to develop actions that bring competitive advantage and highlight their field of activity. This process ranges from the correct collection and storage of the data to the integration of the data with the information obtained on the Web. Data is associated with the planning, […] Continue reading →
The extraction of knowledge from the data is an extremely important activity and demanded by several organizations existent in the business, government, and scientific areas. The tasks of prediction, grouping, pattern identification, anomalies, and imputation are in the set of research activities of this project. Much of the advancement in data mining tasks is achieved […] Continue reading →
This project aims to extract knowledge from different unstructured sources. In text mining, information is usually obtained by identifying patterns and trends through statistical or machine learning from text. In addition to the meaning of the words and the main message passed in writing, the text produced brings different information from the emotions of the […] Continue reading →
This project operates in applied research in different areas of Computer Science, with a bias in the development of computational artifacts. In particular, the research undertaken 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 artifacts […] Continue reading →