In the current technological era, huge amounts of big data are generated and collected from
a wide variety of rich data sources. These big data can be of different levels of veracity in the …

In the current era of big data, a huge amount of data has been generated and collected from
a wide variety of rich data sources. Embedded in these big data are useful information and …

Nowadays graphical datasets are having a vast amount of applications. As a result, graph
mining—mining graph datasets to extract frequent subgraphs—has proven to be crucial in …

Frequent pattern mining has become very useful and interesting to researchers due to its
high applicability. Different real-life databases (eg, sensor network, medical diagnosis data) …

In the current era of big data, high volume of big data can be generated and collected from a
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …

Machine learning, as a tool, has become critical for decision-making mechanisms in the
modern world. It has applications in a wide range of areas, including finance, healthcare …

Biodiversity data (eg, for aquatic organisms, marine creatures and terrestrial animals) and
environmental data (eg, air pollution statistics, water supply and sanitation information, soil …

With technological advancements in computing and communications, huge amounts of big
data are generated and collected at a very rapid rate from a wide variety of rich data …

Advances in computers, information and networks has brought a digital cyber world to our
daily lives. They have generated numerous digital things (or cyber entities), which have …

Huge amounts of big data can be generated and collected from a wide variety of rich data
sources. Embedded in these big data are useful information and valuable knowledge. An …