This article introduced DM, the central activity in the process of KDD, which is concerned with finding patterns in data. The different types of patterns considered in DM include patterns, trees, and rules. DM algorithms search the space of possible patterns of a given type to find patterns that are valid in a given set of data (i.e., that fit the given data set well).

It also gave an overview of KDD applications in environmental sciences, complemented with a sample of case studies. DM has been successfully applied to a number of problems in ecology and environmental sciences in general. Typical success stories involve the use of DM to construct habitat-suitability models or population dynamics models. DM has also been used successfully in environmental epidemiology, environmental monitoring (including remote sensing approaches), and environmental toxicology.

Project Earth Conservation

Project Earth Conservation

Get All The Support And Guidance You Need To Be A Success At Helping Save The Earth. This Book Is One Of The Most Valuable Resources In The World When It Comes To How To Recycle to Create a Better Future for Our Children.

Get My Free Ebook

Post a comment