Scientific data mining
Subtitle: a practical perspective
By: Chandrika Kamath.
Publisher: Society for Industrial and Applied Mathematics; Brand: Society for Industrial and Applied Mathematic
Published: 2009
Place of publication: Philadelphia
Language: eng
Number of pages: 300
ISBN-13: 9780898716757
Subjects: Data mining; Science -- Databases; Engineering -- Databases
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction; title: Data mining in science and engineering; title: Common themes in mining scientific data; title: The scientific data mining process; title: Reducing the size of the data; title: Fusing different data modalities; title: Enhancing image data; title: Finding objects in the data; title: Extracting features describing the objects; title: Reducing the dimension of the data; title: Finding patterns in the data; title: Visualizing the data and validating the results; title: Scientific data mining systems; title: Lessons learned, challenges, and opportunities.