Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key procedures for data mining. This paper provides an improved K-nearest ...

K-Nearest Neighbour (KNN) a well-known method that is using in several real-life applications that involve machine learning and data mining in the real world. It finds the nearest neighbors from the ...

Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Four years ago, Ikea began “process mining,” which has led to a whole new way of thinking about omnichannel execution at the retailer.

Some types of predictive analytics software use machine learning to revise algorithms based on learnings from the data collected over time, continuously improving prediction accuracy.

Making a profit from Litecoin mining requires an investment of money and time and depends on this cryptocurrency's market price.

Learn about the most common and effective distance metrics for k-nearest neighbors (KNN) algorithms and how to select the best one for your data and problem.

Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.

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.

Keywords: landslide, data mining, random forest, support vector machine, spatial prediction Citation: Ashraf Mohammed O, Kamal Hamaamin H, Azad J, Rasooli S and Li H (2025) Spatial prediction of ...

How can big data inform clinical strategies for neurological conditions? And what methodologies can be employed to validate findings encountered in publicly available data? To gather further insights ...