Causal Models and Intelligent Data Management (Paperback, Softcover reprint of the original 1st ed. 1999)

Data analysis and inference have traditionally been research areas of statistics. However, the need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new methods and tools, new types of databases, new efficient algorithms, new data structures, etc. - in effect new computational methods.
This monograph presents new intelligent data management methods and tools, such as the support vector machine, and new results from the field of inference, in particular of causal modeling. In 11 well-structured chapters, leading experts map out the major tendencies and future directions of intelligent data analysis. The book will become a valuable source of reference for researchers exploring the interdisciplinary area between statistics and computer science as well as for professionals applying advanced data analysis methods in industry and commerce. Students and lecturers will find the book useful as an introduction to the area.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	March 2013
First published:	1999
Editors:	Alex Gammerman
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	185
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-3-642-63682-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Pattern recognition Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-63682-9
Barcode:	9783642636820

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