Scientific data mining : a practical perspective / Chandrika Kamath.

Format:

Book

Author/Creator:

Kamath, Chandrika.

Contributor:

Society for Industrial and Applied Mathematics.

Language:

English

Subjects (All):

Data mining.

Science--Databases.

Science.

Engineering--Databases.

Engineering.

Physical Description:

1 electronic text (xviii, 286 p. : ill.) : digital file.

Place of Publication:

Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2009.

Language Note:

English

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Summary:

Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.

Contents:

1. Introduction

2. Data mining in science and engineering

3. Common themes in mining scientific data

4. The scientific data mining process

5. Reducing the size of the data

6. Fusing different data modalities

7. Enhancing image data

8. Finding objects in the data

9. Extracting features describing the objects

10. Reducing the dimension of the data

11. Finding patterns in the data

12. Visualizing the data and validating the results

13. Scientific data mining systems

14. Lessons learned, challenges, and opportunities.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

Description based on title page of print version.

ISBN:

0-89871-769-8

Publisher Number:

OT112 siam

OT112 SIAM