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Record Nr. |
UNISA996547963303316 |
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Autore |
Weber Felix |
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Titolo |
Artificial intelligence for business analytics : algorithms, platforms and application scenarios / / Felix Weber |
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Pubbl/distr/stampa |
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Wiesbaden, Germany : , : Springer, , [2023] |
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©2023 |
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ISBN |
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9783658375997 |
9783658375980 |
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Descrizione fisica |
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1 online resource (146 pages) : illustrations |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Business - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Business Analytics -- Artificial Intelligence -- AI and BA platforms -- Technology framework and process model as reference -- Case studies on the use of AI-based business analytics. |
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Sommario/riassunto |
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While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies. Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods. This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form based on the business analytics technology framework, and shows application scenarios from various industries. In |
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addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. The Content Business Analytics Artificial Intelligence AI and BA platforms Technology framework and procedure model as reference Case studies on the use of AI-based business analytics The Author Felix Weber is a researcher at the University of Duisburg-Essen with a focus on digitalization, artificial intelligence, price, promotion, assortment management, and transformation management. At the Chair of Business Informatics and Integrated Information Systems, he founded the Retail Artificial Intelligence Lab (retAIL). At the same time, he also worked on various jobs as a consultant for SAP systems in retail, Head of Data Science and as Head of ERP. He thus combines current practice with scientific research in this subfield. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. |
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2. |
Record Nr. |
UNINA9910784328003321 |
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Titolo |
Seawater : its composition, properties, and behaviour / / prepared by an Open University Course Team |
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Pubbl/distr/stampa |
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Oxford [England] ; ; New York, : Pergamon Press, in association with the Open University, 1995 |
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ISBN |
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1-281-03445-2 |
9786611034450 |
0-08-054081-3 |
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Edizione |
[2nd ed. / rev. for the course team by John Wright and Angela Colling.] |
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Descrizione fisica |
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1 online resource (173 pages) : illustrations |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Seawater - Composition |
Saline waters - Composition |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Prepared by the Oceanography Course Team. |
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Nota di bibliografia |
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Includes bibliographical references (p. 144) and index. |
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Nota di contenuto |
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Front Cover; SEAWATER: ITS COMPOSITION, PROPERTIES AND BEHAVIOUR; Copyright Page; CONTENTS; ABOUT THIS VOLUME; ABOUT THIS SERIES; CHAPTER 1. WATER , AIR AND ICE; 1.1 THE SPECIAL PROPERTIES OF WATER; 1.2 THE HYDROLOGICAL CYCLE; 1.3 SUMMARY OF CHAPTER 1; CHAPTER 2. TEMPERATURE IN THE OCEANS; 2.1 SOLAR RADIATION; 2.2 DISTRIBUTION OF SURFACE TEMPERATURES; 2.3 DISTRIBUTION OF TEMPERATURE WITH DEPTH; 2.4 ENERGY FROM THE THERMOCLINE - A BRIEF DIGRESSION; 2.5 TEMPERATURE DISTRIBUTION AND WATER MOVEMENT; 2.6 SUMMARY OF CHAPTER 2; CHAPTER 3. SALINITY IN THE OCEANS; 3.1 CONSTANCY OF COMPOSITION |
3.2 VARIATIONS IN SALINITY 3.3 THE MEASUREMENT OF SALINITY; 3.4 SUMMARY OF CHAPTER 3; CHAPTER 4. DENSITY AND PRESSURE IN THE OCEAN; 4.1 WATER MASSES; 4.2 DEPTH (PRESSURE), DENSITY AND TEMPERATURE; 4.3 T-S DIAGRAMS; 4.4 MIXING PROCESSES IN THE OCEANS; 4.5 SUMMARY OF CHAPTER4; CHAPTER 5. LIGHT AND SOUND IN SEAWATER; 5.1 UNDERWATER LIGHT; 5.2 UNDERWATER SOUND; 5.3 SUMMARY OF CHAPTER 5; CHAPTER 6. THE SEAWATER SOLUTION; 6.1 THE GROSS CHEMICAL COMPOSITION OF SEAWATER; 6.2 SOURCES AND SINKS, OR WHY THE SEA IS SALT; 6.3 CHEMICAL AND BIOLOGICAL REACTIONS IN SEAWATER; 6.4 SUMMARY OF CHAPTER 6 |
CHAPTER 7. SEAWATER AND THE GLOBAL CYCLE 7.1 A SHORT HISTORY OF SEAWATER; 7.2 A LOOK AHEAD; 7.3 SUMMARY OF CHAPTER; APPENDIX: CONVERSIONS BETWEEN pH AND [H+]; SUGGESTED AND COMMENTS READING; ANSWERS AND COMMENTS TO QUESTIONS; ACKNOWLEDGEMENTS; INDEX |
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Sommario/riassunto |
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'Seawater' has been substantially updated in this second edition to take account of recent developments in marine science. Sections dealing with difficult physical and chemical concepts have been developed on the basis of feedback from the first edition, making this an ideal learning tool for oceanography students. Chapter 1 summarizes the special properties of water and the role of the oceans in the hydraulic cycle. The distribution of temperature and salinity in the oceans and how they influence water density and movements is then discussed. |
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