Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection

by Yun Sing Koh, Nathan Rountree

Overview

The growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make sense of the information they contain. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining. Covering a comprehensive range of topics, this book discusses underlying frameworks, mining techniques, interest metrics, and real-world application domains within the field.

Product Details

ISBN-13:	9781605667546
Publisher:	IGI Global
Publication date:	08/31/2009
Series:	Advances in Data Warehousing and Mining (ADWM) Book Series
Pages:	320
Product dimensions:	8.70(w) x 11.20(h) x 1.10(d)