Strategic innovations of AI and ML for e-commerce data security:
"As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI an...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Schriftenreihe: | Advances in electronic commerce (AEC) book series.
|
| Schlagworte: | |
| Online-Zugang: | DE-863 |
| Zusammenfassung: | "As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers."-- |
| Beschreibung: | 21 PDFs (498 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369357200 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Strategic innovations of AI and ML for e-commerce data security |c Gaganpreet Kaur, Jatin Arora, Vishal Jain, Asadullah Shaikh, editors. |
| 246 | 3 | |a Strategic innovations of artificial intelligence and machine learning for e-commerce data security | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
| 300 | |a 21 PDFs (498 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in electronic commerce (AEC) book series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing -- Chapter 2. Artificial Intelligence and Machine Learning in eCommerce -- Chapter 3. AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data -- Chapter 4. Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML -- Chapter 5. Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future -- Chapter 6. Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions -- Chapter 7. Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security -- Chapter 8. E-Commerce Data Alchemy: Behind the Picture of Data Collection and Pre-Processing -- Chapter 9. Advances in Data Processing, Machine Learning, and Data Security -- Chapter 10. Emerging Technologies in E-Commerce Security -- Chapter 11. Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems -- Chapter 12. Leveraging AI and ML for Proactive Threat Detection for E-Commerce -- Chapter 13. Explainable AI, Federated Learning, and AI Ethics in E-Commerce -- Chapter 14. Strategic Feature Selection Techniques for E-Commerce Application and Data Protection in AI and ML -- Chapter 15. Predictive Analysis-Based AI-Driven Data Security Authentication and Authorization for Medical Warehousing Mechanisms -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers."-- |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 09/30/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Data encryptin (Computer science) | |
| 650 | 0 | |a Data protection. | |
| 650 | 0 | |a Electronic commerce |x Security measures. | |
| 650 | 0 | |a Machine learning. | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Blockchain Technology. | ||
| 653 | |a Computer Algorithms. | ||
| 653 | |a Cybersecurity. | ||
| 653 | |a Data Modelling. | ||
| 653 | |a Data Science. | ||
| 653 | |a E-Commerce. | ||
| 653 | |a Ethics. | ||
| 653 | |a Federated Learning. | ||
| 653 | |a Fraud Detection. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Security and Privacy. | ||
| 653 | |a Threat Detection. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Arora, Jatin |e editor. | |
| 700 | 1 | |a Jain, Vishal |e editor. | |
| 700 | 1 | |a Kaur, Gaganpreet |e editor. | |
| 700 | 1 | |a Shaikh, Asadullah |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369357187 |
| 830 | 0 | |a Advances in electronic commerce (AEC) book series. | |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5718-7 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00341431 |
|---|---|
| _version_ | 1825936824129814528 |
| adam_text | |
| any_adam_object | |
| author2 | Arora, Jatin Jain, Vishal Kaur, Gaganpreet Shaikh, Asadullah |
| author2_role | edt edt edt edt |
| author2_variant | j a ja v j vj g k gk a s as |
| author_facet | Arora, Jatin Jain, Vishal Kaur, Gaganpreet Shaikh, Asadullah |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HF5548 |
| callnumber-raw | HF5548.37 .S77 2024e |
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| callnumber-subject | HF - Commerce |
| collection | ZDB-98-IGB |
| contents | Preface -- Chapter 1. Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing -- Chapter 2. Artificial Intelligence and Machine Learning in eCommerce -- Chapter 3. AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data -- Chapter 4. Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML -- Chapter 5. Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future -- Chapter 6. Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions -- Chapter 7. Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security -- Chapter 8. E-Commerce Data Alchemy: Behind the Picture of Data Collection and Pre-Processing -- Chapter 9. Advances in Data Processing, Machine Learning, and Data Security -- Chapter 10. Emerging Technologies in E-Commerce Security -- Chapter 11. Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems -- Chapter 12. Leveraging AI and ML for Proactive Threat Detection for E-Commerce -- Chapter 13. Explainable AI, Federated Learning, and AI Ethics in E-Commerce -- Chapter 14. Strategic Feature Selection Techniques for E-Commerce Application and Data Protection in AI and ML -- Chapter 15. Predictive Analysis-Based AI-Driven Data Security Authentication and Authorization for Medical Warehousing Mechanisms -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006824 (OCoLC)1459227707 |
| dewey-full | 658.478 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.478 |
| dewey-search | 658.478 |
| dewey-sort | 3658.478 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00341431 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-07T12:04:12Z |
| institution | BVB |
| isbn | 9798369357200 |
| language | English |
| oclc_num | 1459227707 |
| open_access_boolean | |
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| physical | 21 PDFs (498 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2025 |
| publishDateSearch | 2025 |
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| publisher | IGI Global |
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| series | Advances in electronic commerce (AEC) book series. |
| series2 | Advances in electronic commerce (AEC) book series |
| spelling | Strategic innovations of AI and ML for e-commerce data security Gaganpreet Kaur, Jatin Arora, Vishal Jain, Asadullah Shaikh, editors. Strategic innovations of artificial intelligence and machine learning for e-commerce data security Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 21 PDFs (498 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in electronic commerce (AEC) book series Includes bibliographical references and index. Preface -- Chapter 1. Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing -- Chapter 2. Artificial Intelligence and Machine Learning in eCommerce -- Chapter 3. AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data -- Chapter 4. Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML -- Chapter 5. Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future -- Chapter 6. Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions -- Chapter 7. Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security -- Chapter 8. E-Commerce Data Alchemy: Behind the Picture of Data Collection and Pre-Processing -- Chapter 9. Advances in Data Processing, Machine Learning, and Data Security -- Chapter 10. Emerging Technologies in E-Commerce Security -- Chapter 11. Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems -- Chapter 12. Leveraging AI and ML for Proactive Threat Detection for E-Commerce -- Chapter 13. Explainable AI, Federated Learning, and AI Ethics in E-Commerce -- Chapter 14. Strategic Feature Selection Techniques for E-Commerce Application and Data Protection in AI and ML -- Chapter 15. Predictive Analysis-Based AI-Driven Data Security Authentication and Authorization for Medical Warehousing Mechanisms -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/30/2024). Artificial intelligence. Data encryptin (Computer science) Data protection. Electronic commerce Security measures. Machine learning. Artificial Intelligence. Blockchain Technology. Computer Algorithms. Cybersecurity. Data Modelling. Data Science. E-Commerce. Ethics. Federated Learning. Fraud Detection. Machine Learning. Security and Privacy. Threat Detection. Electronic books. Arora, Jatin editor. Jain, Vishal editor. Kaur, Gaganpreet editor. Shaikh, Asadullah editor. IGI Global, publisher. Print version: 9798369357187 Advances in electronic commerce (AEC) book series. |
| spellingShingle | Strategic innovations of AI and ML for e-commerce data security Advances in electronic commerce (AEC) book series. Preface -- Chapter 1. Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing -- Chapter 2. Artificial Intelligence and Machine Learning in eCommerce -- Chapter 3. AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data -- Chapter 4. Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML -- Chapter 5. Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future -- Chapter 6. Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions -- Chapter 7. Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security -- Chapter 8. E-Commerce Data Alchemy: Behind the Picture of Data Collection and Pre-Processing -- Chapter 9. Advances in Data Processing, Machine Learning, and Data Security -- Chapter 10. Emerging Technologies in E-Commerce Security -- Chapter 11. Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems -- Chapter 12. Leveraging AI and ML for Proactive Threat Detection for E-Commerce -- Chapter 13. Explainable AI, Federated Learning, and AI Ethics in E-Commerce -- Chapter 14. Strategic Feature Selection Techniques for E-Commerce Application and Data Protection in AI and ML -- Chapter 15. Predictive Analysis-Based AI-Driven Data Security Authentication and Authorization for Medical Warehousing Mechanisms -- Compilation of References -- About the Contributors -- Index. Artificial intelligence. Data encryptin (Computer science) Data protection. Electronic commerce Security measures. Machine learning. |
| title | Strategic innovations of AI and ML for e-commerce data security |
| title_alt | Strategic innovations of artificial intelligence and machine learning for e-commerce data security |
| title_auth | Strategic innovations of AI and ML for e-commerce data security |
| title_exact_search | Strategic innovations of AI and ML for e-commerce data security |
| title_full | Strategic innovations of AI and ML for e-commerce data security Gaganpreet Kaur, Jatin Arora, Vishal Jain, Asadullah Shaikh, editors. |
| title_fullStr | Strategic innovations of AI and ML for e-commerce data security Gaganpreet Kaur, Jatin Arora, Vishal Jain, Asadullah Shaikh, editors. |
| title_full_unstemmed | Strategic innovations of AI and ML for e-commerce data security Gaganpreet Kaur, Jatin Arora, Vishal Jain, Asadullah Shaikh, editors. |
| title_short | Strategic innovations of AI and ML for e-commerce data security |
| title_sort | strategic innovations of ai and ml for e commerce data security |
| topic | Artificial intelligence. Data encryptin (Computer science) Data protection. Electronic commerce Security measures. Machine learning. |
| topic_facet | Artificial intelligence. Data encryptin (Computer science) Data protection. Electronic commerce Security measures. Machine learning. Electronic books. |
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