Handbook of research on foundations and applications of intelligent business analytics:
"This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way"
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
Business Science Reference
[2022]
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2022. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way" |
| Beschreibung: | 28 PDFs (425 Seiten) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799890188 |
Internformat
MARC
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| 245 | 0 | 0 | |a Handbook of research on foundations and applications of intelligent business analytics |c Zhaohao Sun, and Zhiyou Wu, editor. |
| 264 | 1 | |a Hershey, PA |b Business Science Reference |c [2022] | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2022. | |
| 300 | |a 28 PDFs (425 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany. | |
| 520 | 3 | |a "This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way" | |
| 588 | |a Description based on title screen (IGI Global, viewed 02/15/2022). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Business planning |x Statistical methods. | |
| 650 | 0 | |a Management |x Data processing. | |
| 653 | |a Artificial Intelligence Systems. | ||
| 653 | |a Augmented Analytics. | ||
| 653 | |a Big Data Analytics. | ||
| 653 | |a Business Analytics. | ||
| 653 | |a Data Processing. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Intelligent Big Data Analytics. | ||
| 653 | |a Intelligent Business. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Search Engine Optimization. | ||
| 653 | |a Supply Chain Management. | ||
| 700 | 1 | |a Sun, Zhaohao |e editor. | |
| 700 | 1 | |a Wu, Zhiyou |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 1799890163 |z 9781799890164 |
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Datensatz im Suchindex
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| building | Verbundindex |
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| contents | Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany. |
| ctrlnum | (CaBNVSL)slc00002318 (OCoLC)1263249267 |
| dewey-full | 658.0557 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.0557 |
| dewey-search | 658.0557 |
| dewey-sort | 3658.0557 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00275268 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:35Z |
| institution | BVB |
| isbn | 9781799890188 |
| language | English |
| oclc_num | 1263249267 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 28 PDFs (425 Seiten) |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | Business Science Reference IGI Global |
| record_format | marc |
| spelling | Handbook of research on foundations and applications of intelligent business analytics Zhaohao Sun, and Zhiyou Wu, editor. Hershey, PA Business Science Reference [2022] Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2022. 28 PDFs (425 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany. "This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way" Description based on title screen (IGI Global, viewed 02/15/2022). Big data. Business planning Statistical methods. Management Data processing. Artificial Intelligence Systems. Augmented Analytics. Big Data Analytics. Business Analytics. Data Processing. Deep Learning. Intelligent Big Data Analytics. Intelligent Business. Machine Learning. Search Engine Optimization. Supply Chain Management. Sun, Zhaohao editor. Wu, Zhiyou editor. IGI Global, publisher. Print version: 1799890163 9781799890164 |
| spellingShingle | Handbook of research on foundations and applications of intelligent business analytics Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany. Big data. Business planning Statistical methods. Management Data processing. |
| title | Handbook of research on foundations and applications of intelligent business analytics |
| title_auth | Handbook of research on foundations and applications of intelligent business analytics |
| title_exact_search | Handbook of research on foundations and applications of intelligent business analytics |
| title_full | Handbook of research on foundations and applications of intelligent business analytics Zhaohao Sun, and Zhiyou Wu, editor. |
| title_fullStr | Handbook of research on foundations and applications of intelligent business analytics Zhaohao Sun, and Zhiyou Wu, editor. |
| title_full_unstemmed | Handbook of research on foundations and applications of intelligent business analytics Zhaohao Sun, and Zhiyou Wu, editor. |
| title_short | Handbook of research on foundations and applications of intelligent business analytics |
| title_sort | handbook of research on foundations and applications of intelligent business analytics |
| topic | Big data. Business planning Statistical methods. Management Data processing. |
| topic_facet | Big data. Business planning Statistical methods. Management Data processing. |
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