This book explains what it covers very well, but in a field that's moving as fast as big data and machine learning, its sound but rather traditional approach may soon look a little dated.

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the ...

The MLDM´2018 conference is the fourteenth event in a series of Machine Learning and Data Mining meetings. The aim of MLDM is to bring together from all over the world researchers dealing with ...

Data mining can use machine-learning algorithms as part of its process, but machine learning is a broader field that encompasses a range of techniques for automated learning and decision-making.

Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives of prediction, classification and clustering and are particularly ...

A large majority of survey respondents say artificial intelligence (AI) is taking a direct strategic or supporting role, sometimes driving the business, according to the 2025 AI, Data Science, and ...

This open-source platform is favored for its user-friendly interface and integration of various data mining and machine learning components. Python libraries (Pandas, Scikit-learn, TensorFlow) ...