Data Mining for Scientific and Engineering Applications (Massive Computing)
Contributors: R.L. Grossman (Editor); C. Kamath (Editor); P. Kegelmeyer (Editor); V. Kumar (Editor); R. Namburu (Editor)
Edition: 1 edition
Publisher: Springer
Published: October 3, 2001
Language: eng
Format: Paperback
Number of pages: 628
ISBN-13: 9781402001147
Subjects: Databases & data structures; Computers - Data Base Management; Database Engineering; Computers; General; Computer Books: General; Database Management - General; Data Processing - Optical Data Processing; Computers / Computer Science
First sentence: As data mining has gained acceptance in the commercial world, the important role these techniques play in the scientific and engineering domains is increasingly being overlooked.