Scientific data mining : a practical perspective
Title:
Scientific data mining : a practical perspective
Author:
Kamath, Chandrika.
ISBN:
9780898716757
Personal Author:
Publication Information:
Philadelphia : Society for Industrial and Applied Mathematics, c2009.
Physical Description:
xviii, 286 p. : ill. ; 26 cm.
Contents:
Data mining in science and engineering -- Common themes in mining scientific data -- The scientific data mining process -- Reducing the size of the data -- Fusing different data modalities -- Enhancing image data -- Finding objects in the data -- Extracting features describing the objects -- Reducing the dimension of the data -- Finding patterns in the data -- Visualizing the data and validating the results -- Scientific data mining systems -- Lessons learned, challenges, and opportunities.
Abstract:
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.
Electronic Access:
Table of contents only http://www.loc.gov/catdir/enhancements/fy0916/2008056149-t.htmlPublisher description http://www.loc.gov/catdir/enhancements/fy0916/2008056149-d.html
Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0916/2008056149-b.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func.service&doc_library.BVB01&doc_number.017363421&line_number.0001&func_code.DB_RECORDS&service_type.MEDIA