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Foundations of Data Mining and Knowledge Discovery

Tsau Young Lin ; Setsuo Ohsuga ; Churn-Jung Liau ; Xiaohua Hu ; Shusaku Tsumoto (eds.)

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Theory of Computation; Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-26257-2

ISBN electrónico

978-3-540-32408-9

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin/Heidelberg 2005

Tabla de contenidos

An Algorithm to Calculate the Expected Value of an Ongoing User Session

S. Millán; E. Menasalvas; M. Hadjimichael; E. Hochsztain

The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze information collected from consumer web sessions. Knowledge about user behavior and session goals can be discovered from the information gathered about user activities, as tracked by web clicks. Most current approaches to customer behavior analysis study the user session by examining each web page access. Knowledge of web navigator behavior is crucial for web site sponsors to evaluate the performance of their sites. Nevertheless, knowing the behavior is not always enough. Very often it is also necessary to measure sessions value according to business goals perspectives. In this paper an algorithm is given that makes it possible to calculate at each point of an ongoing navigation not only the possible paths a viewer may follow but also calculates the potential value of each possible navigation.

Pp. 363-375