Catálogo de publicaciones - libros
Introduction to Data Mining and its Applications
S. Sumathi S. N. Sivanandam
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Data Mining and Knowledge Discovery; Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-34350-9
ISBN electrónico
978-3-540-34351-6
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2006
Tabla de contenidos
Introduction to Data Mining Principles
Palabras clave: Data Mining; Decision Support System; Knowledge Discovery; Data Warehouse; Data Mining Technique.
Pp. 1-20
Data Warehousing, Data Mining, and OLAP
Palabras clave: Data Mining; Association Rule; Data Warehouse; Data Mining Algorithm; Fraud Detection.
Pp. 21-73
Data Marts and Data Warehouse
Palabras clave: Data Warehouse; External Data; Business Intelligence; Authentication Server; Business User.
Pp. 75-150
Evolution and Scaling of Data Mining Algorithms
Palabras clave: Data Mining; Association Rule; Mining Algorithm; Transaction Data; Data Mining Algorithm.
Pp. 151-164
Emerging Trends and Applications of Data Mining
Palabras clave: Data Mining; Transaction Data; Data Mining Application; Business User; Business Analytic.
Pp. 165-183
Data Mining Trends and Knowledge Discovery
Palabras clave: Data Mining; Knowledge Discovery; Data Mining Analogy; Economical Storage; Global Computer Network.
Pp. 185-194
Data Mining Tasks, Techniques, and Applications
Palabras clave: Data Mining; Association Rule; Data Warehouse; Data Mining Technique; Data Mining Tool.
Pp. 195-216
Data Mining: an Introduction – Case Study
Palabras clave: Data Mining; Data Warehouse; Information Overload; Data Owner; Data Mining Tool.
Pp. 217-229
Statistical Themes and Lessons for Data Mining
Palabras clave: Data Mining; Statistical Literature; Sample Selection Bias; Markov Condition; Statistical Theme.
Pp. 243-263