Catálogo de publicaciones - libros
Challenges and Negotiations for Women in Higher Education
Pamela Cotterill ; Sue Jackson ; Gayle Letherby (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Higher Education; Educational Policy and Politics; Sociology of Education; Professional & Vocational Education
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-1-4020-6109-7
ISBN electrónico
978-1-4020-6110-3
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer 2007
Cobertura temática
Tabla de contenidos
Women and Work/Life Balance
Amanda Loumansky; Sue Goodman; Sue Jackson
Several business intelligence concepts show that it is possible to build a data warehouse based on heterogeneous quantitative and qualitative data. But the danger of flooding the management with information still remains. Business information should be made available according to the personal need of a manager by a self-defined push mechanism. The concept of active data warehousing is going to be expanded in this way, first. Messages about new relevant information should be created for quantitative and qualitative data as well. Due to this, there is a need for an enterprise specific ontology. This ontology works as an intermediate between current information and user profiles. Just interesting information are passed to the user. The second approach clusters qualitative data in favour of visualization. The usage of increasing cell structures provides a self organizing map. Decision makers will get the opportunity to search in document volumes, which are clustered.
Section 3 - Career – Identity – Home | Pp. 223-240
Final Comments and Reflections: The Challenges and Negotiations of Lifelong Learning for Women in Higher Education
Pamela Cotterill; Sue Jackson; Gayle Letherby
Several business intelligence concepts show that it is possible to build a data warehouse based on heterogeneous quantitative and qualitative data. But the danger of flooding the management with information still remains. Business information should be made available according to the personal need of a manager by a self-defined push mechanism. The concept of active data warehousing is going to be expanded in this way, first. Messages about new relevant information should be created for quantitative and qualitative data as well. Due to this, there is a need for an enterprise specific ontology. This ontology works as an intermediate between current information and user profiles. Just interesting information are passed to the user. The second approach clusters qualitative data in favour of visualization. The usage of increasing cell structures provides a self organizing map. Decision makers will get the opportunity to search in document volumes, which are clustered.
Section 3 - Career – Identity – Home | Pp. 241-253