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 31, 2001
Language: eng
Format: Hardcover
Number of pages: 632
ISBN-13: 9781402000331
Subjects: Databases & data structures; Database Management - General; Computer Books: General; Database Engineering; Computers; Computers - General Information; Data mining; Artificial Intelligence - General; General; Computers / Artificial Intelligence; Computers / Computer Science; Computers-Database Management - General; Medical-General
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.