Modern society is living in an age of paradigm changes. In part, these changes have been
driven by new technologies, which provide high performance computing capabilities that …

The past years have witnessed an increasing interest and concern regarding the
development of security monitoring and management mechanisms for Critical …

Big Data pipelines are essential for leveraging Dark Data, ie, data collected but not used
and turned into value. However, tapping their potential requires going beyond the current …

In manufacturing processes, datasets intended for data driven decisions are majorly
generated from time-sequenced sensor readings. Industrial sensor systems are prone to …

Data pipelines are an integral part of various modern data-driven systems. However, despite
their importance, they are often unreliable and deliver poor-quality data. A critical step …

Process Mining is a discipline that sits between data mining and business process
management. The starting point of process mining is an event log, which is analyzed to …

Data pipelines are crucial for processing and transforming data in various domains,
including finance, healthcare, and e-commerce. Ensuring the reliability and accuracy of data …

State-of-the-art approaches for managing Big Data pipelines assume their anatomy is
known by design and expressed through ad-hoc Domain-Specific Languages (DSLs), with …

In order to improve the integrity management level of the hydrogen pipeline, the intelligent
information management system of the hydrogen pipeline based on big data intelligent …

Метою дослідження є розробка архітектури data pipeline (конвеєр даних) для збору
даних про активність користувачів із подальшим використанням цих даних для …