Grundlagen der Business Intelligence: Modelle und Analysetechniken von Wilfr - encadernada, livro de bolso
ISBN: 9783662465301
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. Chapter 3 … mais…
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ISBN: 9783662465301
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 kin… mais…
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Fundamentals of Business Intelligence (Data-Centric Systems and Applications) - encadernada, livro de bolso
2015, ISBN: 3662465302
[EAN: 9783662465301], Neubuch, [PU: Springer], New! This book is in the same immaculate condition as when it was published, Books
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Grundlagen der Business Intelligence: Modelle und Analysetechniken von Wilfr - encadernada, livro de bolso
ISBN: 9783662465301
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. Chapter 3 … mais…
ISBN: 9783662465301
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 kin… mais…
2015
ISBN: 9783662465301
[ED: Gebunden], [PU: Springer Berlin Heidelberg], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive and systematic introductio… mais…
2015, ISBN: 9783662465301
*Fundamentals of Business Intelligence* - Auflage 2015 / gebundene Ausgabe für 79.99 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (gebunden) Hardco… mais…
Fundamentals of Business Intelligence (Data-Centric Systems and Applications) - encadernada, livro de bolso
2015, ISBN: 3662465302
[EAN: 9783662465301], Neubuch, [PU: Springer], New! This book is in the same immaculate condition as when it was published, Books
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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.Dados detalhados do livro - Fundamentals of Business Intelligence
EAN (ISBN-13): 9783662465301
ISBN (ISBN-10): 3662465302
Livro de capa dura
Livro de bolso
Ano de publicação: 2015
Editor/Editora: Springer Berlin Heidelberg
Livro na base de dados desde 2015-08-11T19:17:55-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-04-25T07:58:40-03:00 (Sao Paulo)
Número ISBN/EAN: 9783662465301
Número ISBN - Ortografia alternativa:
3-662-46530-2, 978-3-662-46530-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: grossmann, stefan gross, großmann, rinderle, stefan grossman, open source intelligence techniques
Título do livro: systems, business fundamentals, business intelligence, großmann
Dados da editora
Autor: Wilfried Grossmann; Stefanie Rinderle-Ma
Título: Data-Centric Systems and Applications; Fundamentals of Business Intelligence
Editora: Springer; Springer Berlin
348 Páginas
Ano de publicação: 2015-06-12
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
POD
XVIII, 348 p. 116 illus., 81 illus. in color.
BB; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; BPM; OLAP; big data; business intelligence; business process management; data mining; data warehouses; decision support systems; online analytical processing; process mining; Data Mining and Knowledge Discovery; Business Information Systems; Computer Application in Administrative Data Processing; Computer and Information Systems Applications; Business Process Management; Wissensbasierte Systeme, Expertensysteme; Wirtschaftsmathematik und -informatik, IT-Management; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Angewandte Informatik; EA; BC
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 conceptsbehind business intelligence will benefit from the clear explanations and many examples.Comprehensive and systematic introduction to BI with special emphasis on process data and business process management Illustrates all concepts through selected examples and by using open source tools like R and ProM Accompanying Web site provides additional exercises and detailed code for solutions Includes supplementary material: sn.pub/extras
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