TY  - BOOK
AU  - Kamath,Chandrika
TI  - Scientific data mining: a practical perspective 
SN  - 9780898716757
AV  - QA 76.9.D343 K356.2009
PY  - 2009///
CY  - Philadelphia
PB  - Society for Industrial and Applied Mathematics
KW  - Data mining
KW  - Minería de datos
KW  - Science
KW  - Databases
KW  - Ciencia
KW  - Bases de datos
KW  - Engineering
KW  - Ingeniería
N1  - 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
ER  -