Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and ...

This online data science specialization is intended for both data science professionals and domain experts who want to learn about fundamental concepts and core techniques in data mining for ...

The mining industry is rapidly evolving, with the integration of data and advanced modelling techniques ushering in a new era of collaboration and efficiency across the mining value chain.

This course is available with permission as an outside option to students on other programmes where regulations permit. Machine learning and data mining are emerging fields between statistics and ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

Data can drive better marketing strategies and help make content more authoritative. However, when data is interpreted incorrectly, it can lead marketers astray. An infographic (below) from Geckoboard ...

This may mean that you’re not able to get a place on this course. Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives ...

Literature mining is a specialised data mining method that is used to extract information (facts or data) from text, such as the scientific literature. Literature mining can generate new ...

Eric Gilbert explores how data science techniques like text mining are speeding up research into areas such as pancreatic cancer. The increasing rate of scientific publishing – only made more ...

Earth-i, which specializes in observational data, tracks smelters representing ... smelters that are not integrated into a nearby large mining complex and instead source their concentrates from ...