The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables ...

Decision Trees Used for Exploration and Data Pre-Processing Decision trees are considered the newest data mining technology that helps you to analyze which parts of the database are really useful or ...

One-to-many data linkage is an important task in many domains, yet only a handful of prior publications have addressed this issue. The technical challenge in implementing one-to-many data linkage ...

To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data ...

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

This graphs depicts data mining and decision trees. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for ...

MarketingProfs analyzes the nine most common data mining techniques used in predictive analytics, giving marketers a better way to drive success.

With enterprises operating out of multiple geographic locations, multi-database mining is becoming important for effective and informed decision making. The following data mining techniques will ...