Learn how accounting spreadsheets work with real examples of journals plus when to switch to accounting software.

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

Abstract: Cluster analysis is a fundamental method for studying big data problems, as it groups samples based on shared features. In cluster analysis, a particular class of big data problems is ...

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing ...

Mention the words “rush hour traffic” to a Houstonian, and you’re likely to be met with a groan and a shoulder shrug: That’s just how it is here. Each August when school starts, it can seem even worse ...

In this paper, qualitative and quantitative methods are used to compare and analyze the content of “circle” in primary school mathematics textbooks published by People’s Education Press and Beijing ...

If you are an SEO practitioner or digital marketer reading this article, you may have experimented with AI and chatbots in your everyday work. But the question is, how can you make the most out of AI ...