Data Mining and Knowledge Discovery in Real Life Applications
by Julio Ponce, Adem Karahoca
Publisher: InTech 2009
Number of pages: 464
This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. This book will serve as a Data Mining bible to show a right way for the students, researchers and practitioners in their studies.
Home page url
Download or read it online for free here:
by Shigeaki Sakurai (ed.) - InTech
Text mining techniques are studied aggressively in order to extract the knowledge from the data. This book introduces advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.
by Anand Rajaraman, Jeffrey D. Ullman - Stanford University
At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web.
by J. M. Hellerstein, M. Stonebraker - UC Berkeley
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.
by C.J. Date, Hugh Darwen
The database field is full of important problems still to be solved and interesting issues still to be examined -- and some of those problems and issues are explored in this book. It reports on some of our most recent investigations in this field.