Fundamentals of business intelligence / Wilfried Grossmann y Stefanie Rinderle-Ma
Tipo de material:
TextoSeries Data-Centric Systems and AplicationEditor: Berlin: Springer, 2015Descripción: ix, 348 páginas: ilustracionesTipo de contenido: texto Tipo de medio: no mediado Tipo de portador: volumenISBN: 9783662465301Tema(s): MINERIA DE DATOS | SISTEMAS ADMINISTRATIVOS DE INFORMACION | INTELIGENCIA EN LOS NEGOCIOSClasificación CDD: 658.403 Recursos en línea: VERSIÓN DIGITAL Resumen:
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques, and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described, and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples
| Tipo de ítem | Biblioteca actual | Colección | número de clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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Bibliografía Reserva copia 1
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Biblioteca Sede Concepción | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 1 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269582 | |
Bibliografía Reserva Basica
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Biblioteca Sede Concepción | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 2 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269583 | |
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Bibliografía Reserva Basica
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Biblioteca Sede Concepción | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 3 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269584 | |
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Bibliografía Reserva copia 1
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Biblioteca Sede Viña del Mar | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 1 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269580 | |
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Bibliografía Reserva Basica
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Biblioteca Sede Viña del Mar | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 2 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269581 | |
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Bibliografía Reserva Basica
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Biblioteca Sede Viña del Mar | Colección Básica de Apoyo Docente | 658.403 G877 (Navegar estantería(Abre debajo)) | 3 | Disponible | Asignatura: Inteligencia de Negocios | 3560900269579 | |
Libro General
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Biblioteca Central | Colección General | 658.403 G877 (Navegar estantería(Abre debajo)) | 1 | Disponible | 3560900240000 |
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This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques, and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described, and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples
COBERTURA BIBLIOGRAFICA:
EIN091B
Asignatura: Inteligencia de Negocios
Última actualización 16 de marzo 2023