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.
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by P. A. Bernstein, V. Hadzilacos, N. Goodman - Addison Wesley
This book is about techniques for concurrency control and recovery. It covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases. Example applications are included.
- Fujitsu Siemens Computers
This book is an introduction to storage technologies and storage networks. It also provides an overview of the storage product portfolio of Fujitsu Siemens Computers which is the basis for solutions that help you manage the growing flood of data.
by Saed Sayad - University of Toronto
Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multidisciplinary field which combines statistics, machine learning, artificial intelligence and database technology.
by C.J. Date, Hugh Darwen - Addison Wesley
This is a book on database management based on an earlier book by the same authors. It can be seen as an abstract blueprint for the design of a DBMS and the language interface to such a DBMS. It serves as a basis for a model of type inheritance.