Publishing data about individuals without revealing sensitive information about them is an important problem. Distributed data mining applications, such as those dealing with health care, finance, ...

Data mining and decision support systems are increasingly integral to modern healthcare, enabling the extraction of clinically relevant insights from vast and diverse datasets. Advanced computational ...

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

As the mobile phone market is rapidly expanding and the modern life is heavily dependent on cell phones, Short Message Service (SMS) has become one of the important media of communications. In this ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...