Fundamentals of business intelligence / (Record no. 1444)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03351nam a2200289 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MIUC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200221105256.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170801s2015 enka|||| |||| 001 | eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783662465301 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MIUC |
| Language of cataloging | eng |
| Transcribing agency | MIUC |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4038 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 3230 |
| Personal name | Grossmann, Wilfried, |
| Dates associated with a name | 1948- |
| 952 ## - Items | |
| Itemnumber | 1768 |
| 245 10 - TITLE STATEMENT | |
| Title | Fundamentals of business intelligence / |
| Statement of responsibility, etc. | Wilfried Grossmann, Stefanie Rinderle-Ma. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Berlin : |
| Name of publisher, distributor, etc. | Springer, |
| Date of publication, distribution, etc. | 2015. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 348 p. : |
| Other physical details | ill. b&w. ; |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| 490 1# - SERIES STATEMENT | |
| Series statement | Data-centric systems and applications, |
| International Standard Serial Number | 2197-9723 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Ch. 1. Introduction -- <br/>Ch. 2. Modeling in Business Intelligence -- <br/>Ch. 3. Data Provisioning -- <br/>Ch. 4. Data Description and Visualization -- <br/>Ch. 5. Data Mining for Cross-Sectional Data -- <br/>Ch. 6. Data Mining for Temporal Data -- <br/>Ch. 7. Process Analysis -- <br/>Ch. 8. Analysis of Multiple Business Perspectives -- <br/>Ch. 9. Summary. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 794 |
| Topical term or geographic name entry element | Data mining |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 2200 |
| Topical term or geographic name entry element | Business intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 1041 |
| Topical term or geographic name entry element | Management information systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 3231 |
| Personal name | Rinderle-Ma, Stefanie |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| 9 (RLIN) | 3232 |
| Uniform title | Data-centric systems and applications |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Total Renewals | Full call number | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Marbella International University Centre | Marbella International University Centre | Library | 17/10/2018 | 1 | 2 | 658.4038 GRO fun | 08/10/2019 | 19/06/2019 | 17/10/2018 | Books |