Schemaless databases, and document-oriented databases in particular, are preferred to
relational ones for storing heterogeneous data with variable schemas and structural forms …

Water is one of the basic resources for human survival. Water pollution monitoring and
protection have been becoming a major problem for many countries all over the world. Most …

Auspiciously, big data analytics had made it possible to generate value from immense
amounts of raw data. Organizations are able to seek incredible insights which assist them in …

Recent efforts in data cleaning of structured data have focused exclusively on problems like
data deduplication, record matching, and data standardization; none of the approaches …

In this work, we address the challenging and open problem of involving non-expert users in
the data-repairing problem as first-class citizens. Despite a large number of proposals that …

This article aims to analyze the correlation status and development trend among science,
technology and industry in the Artificial Intelligence (AI) subfield. First, it constructs the …

This paper builds on previous research with the aim of optimizing data quality
methodologies for Big Data systems, with a focus on Electronic Health Records. This …

The evolution of information technology combined with artificial intelligence, IoT (Internet of
Things) and robotics has made processes integrated and intelligent. The increased use of …

Recent efforts in data cleaning of structured data have focused exclusively on problems like
data deduplication, record matching, and data standardization; none of the approaches …

Abstract Security Operations Centers (SOCs) have been built in many institutions for
intrusion detection and incident response. A SOC employs various cyber defense …