In current era, DevOps gain much interaction in software industry as it provides the flexible
development environment. To meet the continuous development and operations, DevOps …

Today's development environments in the manufacturing industry require different
development tools to work together. These complex environments are highly heterogeneous …

This chapter discusses the role of big data in talent selection and assessment. It first
explains big data and examines how it overlaps with the principles and goals of staffing …

Low quality automatic identification system (AIS) data often mislead analysts to a
misunderstanding of ship behavior analysis and to making incorrect navigation risk …

DevOps is a culture-oriented software development and operations methodology, and
software organizations increasingly adopting it due to its flexibility and good business gains …

High-quality data is critical to deriving useful and reliable information. However, real-world
data often contains quality issues undermining the value of the derived information. Most …

A key component in using Progressive Visual Analytics (PVA) is to be able to gauge the
quality of intermediate analysis outcomes. This is necessary in order to decide whether a …

Visualization has become an important ingredient of data analysis, supporting users in
exploring data and confirming hypotheses. At the beginning of a visual data analysis …

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Data quality assessment outcomes are essential for analytical processes reliability,
especially when they are related to temporal data. Such outcomes depend on efficiency and …