Handbook of research on AI and knowledge engineering for real-time business intelligence:
"Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of t...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2023.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of the organization and if the loss has happened in the past consecutive years, we can know the reason behind the loss. With the help of knowledge processing, we can build decision support systems to make better decisions in business. AI-powered IoT creates intelligent technologies that imitate intelligent human behavior and aid in decision-making with little or no human interaction. AI can read, comprehend, and correlate data at breakneck speed, adding a new level of intelligence to blockchain-based business networks. The major research in Semantics, Artificial Intelligence, and Domain-specific applications are becoming more and more common in our daily lives, and the bulk of knowledge processing is becoming intellectual in a very wide sense. Even Artificial Intelligence with IoT and Blockchain found in a broad range of scenarios, from simple everyday tasks to more complex ones, such as transportation systems, business, finance, and even the medical field. Digital news, relationship networking, and advancements generated from expert decision handling are only a few examples of common usage. This research book seeks to give a broad understanding of the concepts, tools, and techniques that underpin data science, artificial intelligence with IoT and Blockchain and knowledge processing in business and industry"-- |
| Beschreibung: | 28 PDFs (359 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668465202 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Handbook of research on AI and knowledge engineering for real-time business intelligence |c Kamal Hiran, Hemachandran Kannan, Anil Pise, Justus Rabi, editor. |
| 246 | 3 | |a Handbook of research on artificial intelligence and knowledge engineering for real-time business intelligence | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2023. | |
| 300 | |a 28 PDFs (359 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. To that of artificial intelligence, passing through business intelligence -- Chapter 2. A systematic literature review of reinforcement algorithms in machine learning -- Chapter 3. An introduction to data visualisation: an overview of visualizing data -- Chapter 4. A breakthrough with machine learning in real-time environments -- Chapter 5. Machine learning-based data analytics with privacy: privacy-preserving data analytics -- Chapter 6. An overview of the data science process and data analytics within organisations -- Chapter 7. AI-based internet of things (AIoT): applications of AI with IoT -- Chapter 8. AI for IoT application: an systematic review -- Chapter 9. Boosting poultry farm profits through blockchain technologies, AI, IoT, and machine learning -- Chapter 10. Creating classroom learning environments favorable to 21st century learners using integration of artificial intelligence and gamification -- Chapter 11. Digital technologies on health services: a systemic review -- Chapter 12. Customer satisfaction and retention at fitness centres based on website quality and service -- Chapter 13. Artificial intelligence solutions for the visually impaired: a review -- Chapter 14. State-of-the-art review on the models, techniques, and datasets to diagnose COVID-19 disease -- Chapter 15. Sentiment analysis of customer reviews for online stores that support customer buying decisions -- Chapter 16. Automation of system infrastructure upgrade or downgrade using AI -- Chapter 17. Fundamental ideas behind control charts -- Chapter 18. Robotic cell scheduling problems and their solution procedures: a survey and future research directions -- Chapter 19. Rezfind: NLP-based resume shortlisting. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | |a "Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of the organization and if the loss has happened in the past consecutive years, we can know the reason behind the loss. With the help of knowledge processing, we can build decision support systems to make better decisions in business. AI-powered IoT creates intelligent technologies that imitate intelligent human behavior and aid in decision-making with little or no human interaction. AI can read, comprehend, and correlate data at breakneck speed, adding a new level of intelligence to blockchain-based business networks. The major research in Semantics, Artificial Intelligence, and Domain-specific applications are becoming more and more common in our daily lives, and the bulk of knowledge processing is becoming intellectual in a very wide sense. Even Artificial Intelligence with IoT and Blockchain found in a broad range of scenarios, from simple everyday tasks to more complex ones, such as transportation systems, business, finance, and even the medical field. Digital news, relationship networking, and advancements generated from expert decision handling are only a few examples of common usage. This research book seeks to give a broad understanding of the concepts, tools, and techniques that underpin data science, artificial intelligence with IoT and Blockchain and knowledge processing in business and industry"-- |c Provided by publisher. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 04/07/2023). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Business intelligence |x Data processing. | |
| 700 | 1 | |a Hiran, Kamal Kant |d 1982- |e editor. | |
| 700 | 1 | |a Kannan, Hemachandran, |e editor. | |
| 700 | 1 | |a Pise, Anil, |e editor. | |
| 700 | 1 | |a Rabi, Justus, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| contents | Chapter 1. To that of artificial intelligence, passing through business intelligence -- Chapter 2. A systematic literature review of reinforcement algorithms in machine learning -- Chapter 3. An introduction to data visualisation: an overview of visualizing data -- Chapter 4. A breakthrough with machine learning in real-time environments -- Chapter 5. Machine learning-based data analytics with privacy: privacy-preserving data analytics -- Chapter 6. An overview of the data science process and data analytics within organisations -- Chapter 7. AI-based internet of things (AIoT): applications of AI with IoT -- Chapter 8. AI for IoT application: an systematic review -- Chapter 9. Boosting poultry farm profits through blockchain technologies, AI, IoT, and machine learning -- Chapter 10. Creating classroom learning environments favorable to 21st century learners using integration of artificial intelligence and gamification -- Chapter 11. Digital technologies on health services: a systemic review -- Chapter 12. Customer satisfaction and retention at fitness centres based on website quality and service -- Chapter 13. Artificial intelligence solutions for the visually impaired: a review -- Chapter 14. State-of-the-art review on the models, techniques, and datasets to diagnose COVID-19 disease -- Chapter 15. Sentiment analysis of customer reviews for online stores that support customer buying decisions -- Chapter 16. Automation of system infrastructure upgrade or downgrade using AI -- Chapter 17. Fundamental ideas behind control charts -- Chapter 18. Robotic cell scheduling problems and their solution procedures: a survey and future research directions -- Chapter 19. Rezfind: NLP-based resume shortlisting. |
| ctrlnum | (CaBNVSL)slc00004207 (OCoLC)1375397569 |
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| id | ZDB-98-IGB-00302090 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:59Z |
| institution | BVB |
| isbn | 9781668465202 |
| language | English |
| oclc_num | 1375397569 |
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| physical | 28 PDFs (359 pages) Also available in print. |
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| spelling | Handbook of research on AI and knowledge engineering for real-time business intelligence Kamal Hiran, Hemachandran Kannan, Anil Pise, Justus Rabi, editor. Handbook of research on artificial intelligence and knowledge engineering for real-time business intelligence Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2023. 28 PDFs (359 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. To that of artificial intelligence, passing through business intelligence -- Chapter 2. A systematic literature review of reinforcement algorithms in machine learning -- Chapter 3. An introduction to data visualisation: an overview of visualizing data -- Chapter 4. A breakthrough with machine learning in real-time environments -- Chapter 5. Machine learning-based data analytics with privacy: privacy-preserving data analytics -- Chapter 6. An overview of the data science process and data analytics within organisations -- Chapter 7. AI-based internet of things (AIoT): applications of AI with IoT -- Chapter 8. AI for IoT application: an systematic review -- Chapter 9. Boosting poultry farm profits through blockchain technologies, AI, IoT, and machine learning -- Chapter 10. Creating classroom learning environments favorable to 21st century learners using integration of artificial intelligence and gamification -- Chapter 11. Digital technologies on health services: a systemic review -- Chapter 12. Customer satisfaction and retention at fitness centres based on website quality and service -- Chapter 13. Artificial intelligence solutions for the visually impaired: a review -- Chapter 14. State-of-the-art review on the models, techniques, and datasets to diagnose COVID-19 disease -- Chapter 15. Sentiment analysis of customer reviews for online stores that support customer buying decisions -- Chapter 16. Automation of system infrastructure upgrade or downgrade using AI -- Chapter 17. Fundamental ideas behind control charts -- Chapter 18. Robotic cell scheduling problems and their solution procedures: a survey and future research directions -- Chapter 19. Rezfind: NLP-based resume shortlisting. Restricted to subscribers or individual electronic text purchasers. "Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of the organization and if the loss has happened in the past consecutive years, we can know the reason behind the loss. With the help of knowledge processing, we can build decision support systems to make better decisions in business. AI-powered IoT creates intelligent technologies that imitate intelligent human behavior and aid in decision-making with little or no human interaction. AI can read, comprehend, and correlate data at breakneck speed, adding a new level of intelligence to blockchain-based business networks. The major research in Semantics, Artificial Intelligence, and Domain-specific applications are becoming more and more common in our daily lives, and the bulk of knowledge processing is becoming intellectual in a very wide sense. Even Artificial Intelligence with IoT and Blockchain found in a broad range of scenarios, from simple everyday tasks to more complex ones, such as transportation systems, business, finance, and even the medical field. Digital news, relationship networking, and advancements generated from expert decision handling are only a few examples of common usage. This research book seeks to give a broad understanding of the concepts, tools, and techniques that underpin data science, artificial intelligence with IoT and Blockchain and knowledge processing in business and industry"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/07/2023). Artificial intelligence. Business intelligence Data processing. Hiran, Kamal Kant 1982- editor. Kannan, Hemachandran, editor. Pise, Anil, editor. Rabi, Justus, editor. IGI Global, publisher. Print version: 1668465191 9781668465196 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6519-6 Volltext |
| spellingShingle | Handbook of research on AI and knowledge engineering for real-time business intelligence Chapter 1. To that of artificial intelligence, passing through business intelligence -- Chapter 2. A systematic literature review of reinforcement algorithms in machine learning -- Chapter 3. An introduction to data visualisation: an overview of visualizing data -- Chapter 4. A breakthrough with machine learning in real-time environments -- Chapter 5. Machine learning-based data analytics with privacy: privacy-preserving data analytics -- Chapter 6. An overview of the data science process and data analytics within organisations -- Chapter 7. AI-based internet of things (AIoT): applications of AI with IoT -- Chapter 8. AI for IoT application: an systematic review -- Chapter 9. Boosting poultry farm profits through blockchain technologies, AI, IoT, and machine learning -- Chapter 10. Creating classroom learning environments favorable to 21st century learners using integration of artificial intelligence and gamification -- Chapter 11. Digital technologies on health services: a systemic review -- Chapter 12. Customer satisfaction and retention at fitness centres based on website quality and service -- Chapter 13. Artificial intelligence solutions for the visually impaired: a review -- Chapter 14. State-of-the-art review on the models, techniques, and datasets to diagnose COVID-19 disease -- Chapter 15. Sentiment analysis of customer reviews for online stores that support customer buying decisions -- Chapter 16. Automation of system infrastructure upgrade or downgrade using AI -- Chapter 17. Fundamental ideas behind control charts -- Chapter 18. Robotic cell scheduling problems and their solution procedures: a survey and future research directions -- Chapter 19. Rezfind: NLP-based resume shortlisting. Artificial intelligence. Business intelligence Data processing. |
| title | Handbook of research on AI and knowledge engineering for real-time business intelligence |
| title_alt | Handbook of research on artificial intelligence and knowledge engineering for real-time business intelligence |
| title_auth | Handbook of research on AI and knowledge engineering for real-time business intelligence |
| title_exact_search | Handbook of research on AI and knowledge engineering for real-time business intelligence |
| title_full | Handbook of research on AI and knowledge engineering for real-time business intelligence Kamal Hiran, Hemachandran Kannan, Anil Pise, Justus Rabi, editor. |
| title_fullStr | Handbook of research on AI and knowledge engineering for real-time business intelligence Kamal Hiran, Hemachandran Kannan, Anil Pise, Justus Rabi, editor. |
| title_full_unstemmed | Handbook of research on AI and knowledge engineering for real-time business intelligence Kamal Hiran, Hemachandran Kannan, Anil Pise, Justus Rabi, editor. |
| title_short | Handbook of research on AI and knowledge engineering for real-time business intelligence |
| title_sort | handbook of research on ai and knowledge engineering for real time business intelligence |
| topic | Artificial intelligence. Business intelligence Data processing. |
| topic_facet | Artificial intelligence. Business intelligence Data processing. |
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