| 书目名称 | Fundamentals of Business Intelligence |
| 编辑 | Wilfried Grossmann,Stefanie Rinderle-Ma |
| 视频video | |
| 概述 | 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 |
| 丛书名称 | Data-Centric Systems and Applications |
| 图书封面 |  |
| 描述 | .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. |
| 出版日期 | Textbook 2015 |
| 关键词 | BPM; OLAP; big data; business intelligence; business process management; data mining; data warehouses; deci |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-46531-8 |
| isbn_softcover | 978-3-662-50940-1 |
| isbn_ebook | 978-3-662-46531-8Series ISSN 2197-9723 Series E-ISSN 2197-974X |
| issn_series | 2197-9723 |
| copyright | Springer-Verlag Berlin Heidelberg 2015 |
发表于 2025-3-21 19:26:16
