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Scientific data mining : a practical perspective / Chandrika Kamath.
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
- 9780898716757
- 0898716756
- QA 76.9.D343 K356.2009
Contenidos:
Introduction -- 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.
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libros | Biblioteca Francisco Xavier Clavigero Acervo | Acervo General | QA 76.9.D343 K356.2009 (Navegar estantería(Abre debajo)) | ej. 1 | Disponible | UIA029558 |
Incluye referencias bibliográficas (325-277) e índice.
Introduction -- 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.