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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

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2006

Tabla de contenidos

Theoretical Frameworks for Data Mining

Pp. 265-270

Major and Privacy Issues in Data Mining and Knowledge Discovery

Palabras clave: Data Mining; Knowledge Discovery; Personal Data; Privacy Issue; Data Subject.

Pp. 271-291

Active Data Mining

Palabras clave: Rule Base; Elementary Shape; Trigger System; Trigger Condition; Execution Semantic.

Pp. 293-302

Decomposition in Data Mining - A Case Study

Pp. 303-313

Data Mining System Products and Research Prototypes

Pp. 315-320

Data Mining in Customer Value and Customer Relationship Management

Palabras clave: Data Mining; Customer Relationship Management; Data Mining Technique; External Data; Enterprise Resource Planning.

Pp. 321-386

Data Mining in Business

Palabras clave: Data Mining; Data Mining Technique; Data Mining Tool; Error Cost; Clone Detector.

Pp. 387-409

Data Mining in Sales Marketing and Finance

Palabras clave: Data Mining; Data Warehouse; Marketing Campaign; Critical Success Factor; Data Mining Application.

Pp. 411-438

Banking and Commercial Applications

Palabras clave: Data Mining; Data Warehouse; Customer Relationship Management; Business Intelligence; Data Mining Tool.

Pp. 439-472

Data Mining for Insurance

Palabras clave: Data Mining; Data Warehouse; Customer Relationship Management; Insurance Industry; Business Intelligence.

Pp. 473-498