Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

Feature engineering remains a major bottleneck when creating predictive systems from
electronic medical records. At present, an important missing element is detecting predictive …

The voice of the customer plays an important role in product competition. Traditional
methods in the area have largely focused on market research and questionnaire surveys to …

Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

With the rapid development of the Internet, more and more users utilize health communities
(known as forums) to find health-related information, share their medical stories and …

Background Modeling personalized treatment pathways plays an important role in
understanding essential/critical treatment behaviors performed on patients during their …