For example, customers that have the same buyer intent, interests or goals can be grouped. This type of data mining is also known as clustering. Predicting data values based on a set of variables.

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

AI is both a threat and an opportunity for creative communities – and copyright is just one issue in a complex sector. Here's ...

At the absolute top end of the property market, buyers need business success or family wealth, or a bit of both.

With a recent headline “I’d take load shedding over no water any day – a South African proverb” the country’s water woes are ...

About 10% of the criminals commit about 50% of the crimes. Here we look at use of clustering algorithm for a data mining approach to help detect the crimes patterns and speed up the process of solving ...

This article is a sponsored feature from Mining.com.au partner Nine Mile Metals. It is not financial advice. Talk to a registered financial expert before making investment decisions. The Bathurst ...

A study published in Astronomy & Astrophysics has identified four previously unknown primordial open cluster (OC) groups in ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Research and insights professionals—skilled in crafting questions and working with a wide range of data sources—have an ...