Handbook of research on AI and machine learning applications and implications in customer support and analytics:
"AI and Machine Learning Applications and Implications in Customer Support and Analytics explores various artificial intelligence and machine learning models and methods for business applications, as well as algorithmic approaches for customer support and analytics in a variety of fields and ap...
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: | "AI and Machine Learning Applications and Implications in Customer Support and Analytics explores various artificial intelligence and machine learning models and methods for business applications, as well as algorithmic approaches for customer support and analytics in a variety of fields and applications in the modern data-driven era where data is arriving in greater variety and with more velocity. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, unsupervised learning, deep learning, customer sentiment analysis, customer emotional analysis, natural language processing, data mining, neural networks, ensemble learning, business analytics and analytical geared toward"-- |
| Beschreibung: | 29 PDFs (423 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668471074 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Handbook of research on AI and machine learning applications and implications in customer support and analytics |c edited by Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. |
| 246 | 3 | |a Handbook of research on artificial intelligence and machine learning applications and implications in customer support and analytics | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2023. | |
| 300 | |a 29 PDFs (423 pages) | ||
| 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. Customer analytics. Chapter 1. Adoption of churn recognition system to predict customer churn: a study with respect to semiconductor supply chain ; Chapter 2. Examining customer behavior towards the use of contextual commerce powered by artificial intelligence ; Chapter 3. Artificial intelligence model for analyzing the buying patterns of customers ; Chapter 4. A pedagogy to support learning analytics: a case for a specific higher education institution ; Chapter 5. The role of machine learning in customer experience ; Chapter 6. Mall customer segmentation engine through clustering analysis -- Section 2. Machine learning for optimization. Chapter 7. Application of machine learning for optimization ; Chapter 8. Approval of artificial intelligence and machine learning models to solve problems in nonlinear active suspension systems ; Chapter 9. Machine learning frameworks in carpooling ; Chapter 10. Smart ATM with tracking of criminals using novel di-pattern and C-LDP (combined local directional pattern) -- Section 3. Predictive analytics. Chapter 11. Restaurant sales prediction using machine learning ; Chapter 12. Big data analytics-based agro advisory system for crop recommendation using spark platform ; Chapter 13. Clearance date prediction using machine learning techniques ; Chapter 14. Predicting healthcare readmissions using artificial intelligence -- Section 4. Artificial intelligence in customer support. Chapter 15. AI and machine learning applications to enhance customer support ; Chapter 16. Customer face-detecting artificial intelligence with people search social site algorithm for product encroachment in supermarkets: business development with customer perspective AI technology ; Chapter 17. User sentiment prediction and analysis for payment app reviews using supervised and unsupervised machine learning approaches ; Chapter 18. Sequence graph-based query Auto-suggestion (SGQAS). | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | |a "AI and Machine Learning Applications and Implications in Customer Support and Analytics explores various artificial intelligence and machine learning models and methods for business applications, as well as algorithmic approaches for customer support and analytics in a variety of fields and applications in the modern data-driven era where data is arriving in greater variety and with more velocity. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, unsupervised learning, deep learning, customer sentiment analysis, customer emotional analysis, natural language processing, data mining, neural networks, ensemble learning, business analytics and analytical geared toward"-- |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 05/16/2023). | ||
| 650 | 0 | |a Artificial intelligence |x Marketing applications. | |
| 650 | 0 | |a Consumer behavior |x Data processing. | |
| 650 | 0 | |a Consumers |x Research. | |
| 700 | 1 | |a Ho, Ree C. |d 1986- |e editor. | |
| 700 | 1 | |a Hossain, Md Shamim |d 1986- |e editor. | |
| 700 | 1 | |a Trajkovski, Goran |d 1972- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| _version_ | 1816797086855725056 |
| adam_text | |
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| author2 | Ho, Ree C. 1986- Hossain, Md Shamim 1986- Trajkovski, Goran 1972- |
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| author_facet | Ho, Ree C. 1986- Hossain, Md Shamim 1986- Trajkovski, Goran 1972- |
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| callnumber-first | H - Social Science |
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| contents | Section 1. Customer analytics. Chapter 1. Adoption of churn recognition system to predict customer churn: a study with respect to semiconductor supply chain ; Chapter 2. Examining customer behavior towards the use of contextual commerce powered by artificial intelligence ; Chapter 3. Artificial intelligence model for analyzing the buying patterns of customers ; Chapter 4. A pedagogy to support learning analytics: a case for a specific higher education institution ; Chapter 5. The role of machine learning in customer experience ; Chapter 6. Mall customer segmentation engine through clustering analysis -- Section 2. Machine learning for optimization. Chapter 7. Application of machine learning for optimization ; Chapter 8. Approval of artificial intelligence and machine learning models to solve problems in nonlinear active suspension systems ; Chapter 9. Machine learning frameworks in carpooling ; Chapter 10. Smart ATM with tracking of criminals using novel di-pattern and C-LDP (combined local directional pattern) -- Section 3. Predictive analytics. Chapter 11. Restaurant sales prediction using machine learning ; Chapter 12. Big data analytics-based agro advisory system for crop recommendation using spark platform ; Chapter 13. Clearance date prediction using machine learning techniques ; Chapter 14. Predicting healthcare readmissions using artificial intelligence -- Section 4. Artificial intelligence in customer support. Chapter 15. AI and machine learning applications to enhance customer support ; Chapter 16. Customer face-detecting artificial intelligence with people search social site algorithm for product encroachment in supermarkets: business development with customer perspective AI technology ; Chapter 17. User sentiment prediction and analysis for payment app reviews using supervised and unsupervised machine learning approaches ; Chapter 18. Sequence graph-based query Auto-suggestion (SGQAS). |
| ctrlnum | (CaBNVSL)slc00004402 (OCoLC)1379307084 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.8/342028563 |
| dewey-search | 658.8/342028563 |
| dewey-sort | 3658.8 9342028563 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00306191 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:59Z |
| institution | BVB |
| isbn | 9781668471074 |
| language | English |
| oclc_num | 1379307084 |
| open_access_boolean | |
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| owner_facet | DE-863 DE-BY-FWS |
| physical | 29 PDFs (423 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2023 |
| publishDateSearch | 2023 |
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| publisher | IGI Global, |
| record_format | marc |
| spelling | Handbook of research on AI and machine learning applications and implications in customer support and analytics edited by Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. Handbook of research on artificial intelligence and machine learning applications and implications in customer support and analytics Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2023. 29 PDFs (423 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Customer analytics. Chapter 1. Adoption of churn recognition system to predict customer churn: a study with respect to semiconductor supply chain ; Chapter 2. Examining customer behavior towards the use of contextual commerce powered by artificial intelligence ; Chapter 3. Artificial intelligence model for analyzing the buying patterns of customers ; Chapter 4. A pedagogy to support learning analytics: a case for a specific higher education institution ; Chapter 5. The role of machine learning in customer experience ; Chapter 6. Mall customer segmentation engine through clustering analysis -- Section 2. Machine learning for optimization. Chapter 7. Application of machine learning for optimization ; Chapter 8. Approval of artificial intelligence and machine learning models to solve problems in nonlinear active suspension systems ; Chapter 9. Machine learning frameworks in carpooling ; Chapter 10. Smart ATM with tracking of criminals using novel di-pattern and C-LDP (combined local directional pattern) -- Section 3. Predictive analytics. Chapter 11. Restaurant sales prediction using machine learning ; Chapter 12. Big data analytics-based agro advisory system for crop recommendation using spark platform ; Chapter 13. Clearance date prediction using machine learning techniques ; Chapter 14. Predicting healthcare readmissions using artificial intelligence -- Section 4. Artificial intelligence in customer support. Chapter 15. AI and machine learning applications to enhance customer support ; Chapter 16. Customer face-detecting artificial intelligence with people search social site algorithm for product encroachment in supermarkets: business development with customer perspective AI technology ; Chapter 17. User sentiment prediction and analysis for payment app reviews using supervised and unsupervised machine learning approaches ; Chapter 18. Sequence graph-based query Auto-suggestion (SGQAS). Restricted to subscribers or individual electronic text purchasers. "AI and Machine Learning Applications and Implications in Customer Support and Analytics explores various artificial intelligence and machine learning models and methods for business applications, as well as algorithmic approaches for customer support and analytics in a variety of fields and applications in the modern data-driven era where data is arriving in greater variety and with more velocity. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, unsupervised learning, deep learning, customer sentiment analysis, customer emotional analysis, natural language processing, data mining, neural networks, ensemble learning, business analytics and analytical geared toward"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/16/2023). Artificial intelligence Marketing applications. Consumer behavior Data processing. Consumers Research. Ho, Ree C. 1986- editor. Hossain, Md Shamim 1986- editor. Trajkovski, Goran 1972- editor. IGI Global, publisher. Print version: 1668471051 9781668471050 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7105-0 Volltext |
| spellingShingle | Handbook of research on AI and machine learning applications and implications in customer support and analytics Section 1. Customer analytics. Chapter 1. Adoption of churn recognition system to predict customer churn: a study with respect to semiconductor supply chain ; Chapter 2. Examining customer behavior towards the use of contextual commerce powered by artificial intelligence ; Chapter 3. Artificial intelligence model for analyzing the buying patterns of customers ; Chapter 4. A pedagogy to support learning analytics: a case for a specific higher education institution ; Chapter 5. The role of machine learning in customer experience ; Chapter 6. Mall customer segmentation engine through clustering analysis -- Section 2. Machine learning for optimization. Chapter 7. Application of machine learning for optimization ; Chapter 8. Approval of artificial intelligence and machine learning models to solve problems in nonlinear active suspension systems ; Chapter 9. Machine learning frameworks in carpooling ; Chapter 10. Smart ATM with tracking of criminals using novel di-pattern and C-LDP (combined local directional pattern) -- Section 3. Predictive analytics. Chapter 11. Restaurant sales prediction using machine learning ; Chapter 12. Big data analytics-based agro advisory system for crop recommendation using spark platform ; Chapter 13. Clearance date prediction using machine learning techniques ; Chapter 14. Predicting healthcare readmissions using artificial intelligence -- Section 4. Artificial intelligence in customer support. Chapter 15. AI and machine learning applications to enhance customer support ; Chapter 16. Customer face-detecting artificial intelligence with people search social site algorithm for product encroachment in supermarkets: business development with customer perspective AI technology ; Chapter 17. User sentiment prediction and analysis for payment app reviews using supervised and unsupervised machine learning approaches ; Chapter 18. Sequence graph-based query Auto-suggestion (SGQAS). Artificial intelligence Marketing applications. Consumer behavior Data processing. Consumers Research. |
| title | Handbook of research on AI and machine learning applications and implications in customer support and analytics |
| title_alt | Handbook of research on artificial intelligence and machine learning applications and implications in customer support and analytics |
| title_auth | Handbook of research on AI and machine learning applications and implications in customer support and analytics |
| title_exact_search | Handbook of research on AI and machine learning applications and implications in customer support and analytics |
| title_full | Handbook of research on AI and machine learning applications and implications in customer support and analytics edited by Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. |
| title_fullStr | Handbook of research on AI and machine learning applications and implications in customer support and analytics edited by Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. |
| title_full_unstemmed | Handbook of research on AI and machine learning applications and implications in customer support and analytics edited by Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. |
| title_short | Handbook of research on AI and machine learning applications and implications in customer support and analytics |
| title_sort | handbook of research on ai and machine learning applications and implications in customer support and analytics |
| topic | Artificial intelligence Marketing applications. Consumer behavior Data processing. Consumers Research. |
| topic_facet | Artificial intelligence Marketing applications. Consumer behavior Data processing. Consumers Research. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7105-0 |
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