Search engines use machine learning for pattern detection. While it’s impossible to explain in one short article how machine learning influences our lives, understanding the basics of machine learning ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

This paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining algorithms in high ...

The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Pattern recognition is a data analysis technique that utilizes various algorithms for the automatic recognition of patterns and data regularities. Recently, various problems and scenes need pattern ...

Semi-supervised machine learning for DDoS detection combines labeled and unlabeled data, improving accuracy. It optimizes models using a limited labeled dataset and leverages the abundance of ...