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- 2008056149 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.".
- 2008056149 contributor B11138881.
- 2008056149 created "c2009.".
- 2008056149 date "2009".
- 2008056149 date "c2009.".
- 2008056149 dateCopyrighted "c2009.".
- 2008056149 description "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.".
- 2008056149 description "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.".
- 2008056149 description "Includes bibliographical references (p. 235-277) and index.".
- 2008056149 extent "xviii, 286 p. :".
- 2008056149 identifier "0898716756".
- 2008056149 identifier "9780898716757".
- 2008056149 identifier F?func=service&doc_library=BVB01&doc_number=017363421&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
- 2008056149 identifier 2008056149-b.html.
- 2008056149 identifier 2008056149-d.html.
- 2008056149 identifier 2008056149-t.html.
- 2008056149 issued "2009".
- 2008056149 issued "c2009.".
- 2008056149 language "eng".
- 2008056149 publisher "Philadelphia : Society for Industrial and Applied Mathematics,".
- 2008056149 subject "004".
- 2008056149 subject "502.85/6312 22".
- 2008056149 subject "Data mining.".
- 2008056149 subject "Engineering Databases.".
- 2008056149 subject "QA76.9.D343 K356 2009".
- 2008056149 subject "Science Databases.".
- 2008056149 tableOfContents "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.".
- 2008056149 title "Scientific data mining : a practical perspective / Chandrika Kamath.".
- 2008056149 type "text".