Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification ...

Artificial intelligence specialist Owkin has added another piece to its medical research portfolio with the launch of ATLANTIS, a patient data mining programme, in partnership with 20 leading ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

His academic work focuses on numerical linear algebra, streaming algorithms, data mining, and mathematical foundations of machine learning.

Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets.

Data mining involves exploring large datasets to discover patterns, correlations, and insights. Dashboards are visual representations of key metrics and data points that provide a way to monitor ...

When a person searches Google, they will see star ratings in the results. Google uses an algorithm and an average to determine how many stars are displayed on different review properties.

Insights from data and machine learning algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things ...

Learn how data mining can help you improve your decision making, operations, and opportunities, with real-world examples from Netflix, Walmart, Spotify, Amazon, and Google.