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

 
9781605667546: Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
Couverture rigide
ISBN 10 : 1605667544 ISBN 13 : 9781605667546
Editeur : Information Science Reference, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Yun Sing Koh is currently a lecturer in computer science at Auckland University of Technology (New Zealand). After completing a bachelor's degree in computer science and master’s degree in software engineering at the University of Malaya, she went on to do her PhD in computer science in Otago, New Zealand. Her current research interests include data mining, machine learning, and information retrieval.

Nathan Rountree is a lecturer in computer science at the University of Otago (Dunedin, New Zealand), where he teaches papers on databases, data structures and algorithms, and Web development. He holds a bachelor's degree in music, a postgraduate diploma in computer science, and a PhD in computer science, all from Otago. His research interests include computer science education, artificial neural networks, and collaborative filtering.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Information Science Reference
Date d'édition
2009
Langue
anglais
ISBN 10 
1605667544
ISBN 13 
9781605667546
Reliure
Relié
Nombre de pages
301
Éditeur
Koh Yun Sing, Rountree Nathan
Coordonnées du fabricant
non disponible
Personne responsable
non disponible