Marcelo Fantinato

• Abstract

  The combination of Business Process Management (BPM) and data mining established the research area known as process mining. Process mining aims to extract knowledge from data resulting from business process execution. The data to be mined is usually formed by event logs produced by information systems automating the organizations' business processes. Process discovery is one of the most s…

  Enhancing the X-Processes algorithm to discover more accurate process models, AP.R

• Abstract

  Several recent medical reports reveal that depression and anxiety have a serious impact on health (e.g., increased death rate of older people, increased risk of stroke etc.). Thus, it is important for societies to proactively address depression, especially in independently living seniors. To this end, "robots" are increasingly taking their places around us to help to address many challeng…

  Mindfulness-enabled companion robots for elderly individuals with depression and anxiety in Brazil, AV.EXT

• Abstract

  Children's toys have become increasingly sophisticated over the years, with a growing shift from simple physical products to toys that engage the digital world by the use of software and hardware. In this research, a smart anthropomorphic toy is defined as a device consisting of a physical toy component in a humanoid form that connects to a computing system with online services through ne…

  Children privacy protection engine for smart anthropomorphic toys, AV.EXT

(Only some records are available in English at this moment)

• Abstract

  The combination of Business Process Management (BPM) and data mining has established a research field known as process mining. The goal of process mining is to extract knowledge about data obtained from the work carried out at different stages of the BPM life-cycle. Process mining seeks to improve business processes by discovering links between variables and behavioral patterns. The data …

  Event log-based activity and resource recommendation for running business processes: a meaningful explanation-driven framework, BP.DR

• Abstract

  Mining process is a relatively new research area that lies between data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. The mining process aims at discovering, monitoring and improving business processes by extracting real knowledge from event logs available in process-oriented information systems. The main objective of this master'…

  Study of the Application of Intelligent Techniques in Process Mining, BP.MS

• Abstract

  The combination of Business Process Management (BPM) and data mining has established a new research field -- known as process mining. The goal of process mining is to extract knowledge about data obtained from the work carried out at different stages of the BPM life-cycle. Process mining seeks to improve business processes by discovering links between variables and behavioral (or misbehav…

  An evolutionary approach to the discovery of unstructured business processes based on cooperative coevolution and the island model, BE.PQ