Detalles del Título
Detalles del Título

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Título Customer and business analytics: applied data mining for business decision making usingLibros / Impreso - Libros
Autor(es) Putler, Daniel S. (Autor)
Krider, Robert E. (Autor)
Publicación Boca Raton, Florida : CRC Press, ©2012
Descripción Física xxvi, 289 páginas. : ilustraciones. ; 27 cm.
Idioma Inglés;
Series Chapman & Hall/CRC the R series (CRC Press)
ISBN 9781466503960
Clasificación(es) 658.4032
CONTABLE Y FINANCIERA
Departamento Contable y Financiero
Materia(s) Software; Minería de datos; Procesamiento de datos; Toma de decisiones; Gestión de bases de datos; Lenguajes de programación (Computadores electrónicos);
Nota(s) Incluye referencias bibliográficas (páginas 283-285) e índice.
CONTENIDO: Purpose and process - Database marketing and data mining - Liking methods to marketing applications - A process model for data mining CRISP-DM—History and background -- The basic structure of CRISP-DM - CRISP-DM phases- The process model within a phase - The CRISP-DM phases in more detail - The typical allocation of effort across project phases - Predictive modeling tools - Basic tools for understanding data - Measurement scales - Software tools - Reading data into R tutorial - Creating simple summary statistics tutorial - frequency distributions and histograms tutorial - Contingency tables tutorial -.- Multiple linear regression - Jargon clarification - Graphical and algebraic representation of the single predictor problem - The probability of a relationship between the variables - Outliers - Multiple regression - Summary - Data visualization and linear regression tutorial - Logistic regression - A graphical illustration of the problem - The generalized linear model - Logistic regression details - Logistic regression tutorial - Lift charts - Constructing lift charts - Using lift charts - Lift chart tutorial - Tree models - The tree algorithm - Trees models tutorial - Neural Network models - The biological inspiration for artificial neural networks - Artificial network models tutorial - Putting it all together - Stepwise variable selection - The rapid model development framework - Applying the rapid development framework tutorial - Grouping methods - Ward's method of cluster analysis and principal components - Summarizing data sets - Ward's method of cluster analysis - principal components - Ward's Method tutorial - K-centroids partitioning cluster analysis - How k-centroid clustering works - cluster types and the nature of customer segments - Methods to assess cluster structure - K-centroids clustering tutorial.
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121808Biblioteca Universidad Icesi2658.4032/P988cReservado (17-Dec-2021)Col. General