Every day a huge amount of data is generated by users of social media platforms, like
Facebook, Twitter and so on. Analyzing data posted by people interested in a given topic or …

Social media posts are often tagged with geographical coordinates or other information that
allows identifying user positions, this way enabling mobility pattern analysis using trajectory …

The widespread use of social media platforms allows scientists to collect huge amount of
data posted by people interested in a given topic or event. This data can be analyzed to infer …

In this paper we address the challenge of applying process mining to discover models of
human behaviour from sensor data. This challenge is caused by a gap between sensor data …

The study of human activity patterns traditionally relies on the continuous tracking of user
location. We approach the problem of activity pattern discovery from a new perspective …

Customer journey analysis is a hot topic in marketing. Understanding how the customers
behave is crucial and is considered as one of the key drivers of business success. To the …

Precise and continuous service management is needed in today's mobile application
development, with consideration of Continuous Delivery. This paper presents a framework to …

Process Mining is a research area that meets the gap between business processes and
various IT systems. Most of the works in this area focus on the control flow perspective, while …

Characterizing how users interact with software has many applications. For example, to
understand which features are used, in which sequence operations are performed, etc. can …

This information about our GSM calls is stored by the TelCo operator in large volumes and
with strict privacy constraints making it challenging the analysis of these fingerprints for …