Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by ...

When asked to describe the “mine of the future,” people generally think of one where every aspect of operations is seamlessly ...

The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to ...

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

You’ve likely heard the term “data mining” before, but have you wondered what it means, exactly? Data mining is like finding hidden treasures in a sea of data. It helps organizations make ...

Spotting a money‑making window is less art than disciplined pattern recognition ... the billionaire explained how "discordant notes" in data or conversation signal big opportunities.

Spatial omics reveal tissue structures and can aid patient stratification. The authors present a method to identify patterns in tissue patches, enabling analysis of disease progression and ...

Solomiia Kurchaba combined satellite data and developed algorithms to identify which ships ... Sitting in his cramped office in Paris, Manfredi Caltagirone admits that one of the world's highest ...

The integration of big data mining in medical research has revolutionized the way we understand and address neurological disorders. These disorders are a leading cause of mortality and long-term ...

implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection ...