Patterns are of central importance in DM and knowledge discovery. DM algorithms search the given data for patterns. Discovered patterns that are valid, interesting, and useful can be called knowledge.
Frawley etal. define a pattern in a data set as a statement that describes relationships in a subset of the data set with some certainty, such that the statement is simpler (in some sense) than the enumeration of all facts in the data set. A pattern thus splits the data set, as it pertains to a part of it, and may involve a spatial aspect which can be visualized.
This section introduces the most common types of patterns that are considered by DM algorithms. Note that the same type of pattern may be used in different DM algorithms addressing different tasks: trees can be used for classification, regression, or clustering (conceptual), and so can distance-based patterns.
Was this article helpful?
This book will surely change your life due to the fact that after reading this book and following through with the steps that are laid out for you in a clear and concise form you will be earning as much as several thousand extra dollars a month, as you can see by the cover of the book we will be discussing how you can make cash for what is considered trash by many people, these are items that have value to many people that can be sold and help people who need these items most.