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You searched IISERK - Author: W N Cottingham
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Call Number
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502.85/6312
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Author
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Kamath, Chandrika.
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Title
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Scientific data mining [electronic resource] : a practical perspective / Chandrika Kamath.
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Publication
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Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2009.
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Material Info.
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1 electronic text (xviii, 286 p.) : ill., digital file.
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Summary Note
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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.
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Notes
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Includes bibliographical references and index.
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Notes
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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.
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ISBN
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9780898717693 (electronic bk.)
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Subject
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Data mining.
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Subject
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Science Databases.
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Subject
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Engineering Databases.
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Subject
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Data mining
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Subject
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Science and engineering data
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Subject
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Image processing
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Subject
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Machine learning
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Subject
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Statistics
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Added Entry
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Society for Industrial and Applied Mathematics.
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Date
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Year, Month, Day:01405141
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Link
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SIAM
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