In the last years there has been a huge growth and consolidation of the Data Mining field.
Some efforts are being done that seek the establishment of standards in the area. Included …

The paper describes one of the methods of data acquisition in data mining models used to
support decision-making. The study presents the possibilities of data collection using the …

Successful investment in early-stage companies has high uncertainty. More specifically, the
tools available to investors need to be more robust to reduce the risk and manage the …

Within the strategic foresight literature, customer foresight still shows a low capability level.
In practice, especially in business-to-business (B2B) industries, analyzing an entire …

Diabetes is a chronic disease that affects millions of people worldwide. Early detection of
diabetes is crucial for preventing or delaying the onset of its associated complications. In this …

The term knowledge discovery in databases or KDD, for short, was coined in 1989 to refer to
the broad process of finding knowledge in data, and to emphasize the “high-level” …

Data Mining is a knowledge field that intersects domains from computer science and
statistics, attempting to discover knowledge from databases in order to facilitate the decision …

In industrial environment, data generated during equipment maintenance and monitoring
activities has become increasingly overwhelming. Data mining presents an opportunity to …

This paper introduces the INTCare system, an intelligent information system based on a
completely automated Knowledge Discovery process and on the Agents paradigm. The …

This article presents results obtained in research regarding the academic performance of
high school students at public schools in the Federal District of Brazil in 2015. Using CRISP …