Background: With the rising popularity of Artificial Intelligence (AI), there is a growing need to
build large and complex AI-based systems in a cost-effective and manageable way. Like …

High data quality is fundamental for today's AI-based systems. However, although data
quality has been an object of research for decades, there is a clear lack of research on …

Data play a key role in AI systems that support decision-making processes. Data-centric AI
highlights the importance of having high-quality input data to obtain reliable results …

Context: Data quality should be at the core of many Artificial Intelligence initiatives from the
very first moment in which data is required for a successful analysis. Measurement and …

Data Quality (DQ) has been one of the key focuses as Data Analytics and Artificial
Intelligence (AI) fields continue to grow. Yet, data quality analysis has mostly been a …

The importance of data cleaning systems has continuously grown in recent years. Especially
for real-time streaming applications, it is crucial, to identify and possibly remove anomalies …

Data quality assessment is an essential process of any data analysis process including
machine learning. The process is time-consuming as it involves multiple independent data …

Cyber-Physical Systems (CPSs) are cross-domain, multi-model, advance information
systems that play a significant role in many large-scale infrastructure sectors of smart cities …

With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are
scrambling to exploit this exciting and transformative technology. Clearly, those who are the …