Recent trends and future direction for data analytics:
"In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential.Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence."-- |
| Beschreibung: | 26 PDFs (350 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369336106 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Recent trends and future direction for data analytics |c Aparna Kumari, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 26 PDFs (350 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. Fundamentals of data analytics. Chapter 1. Introduction to data analytics ; Chapter 2. Multidimensional perspective to data preprocessing for model cognition verity: data preparation and cleansing - approaches for model optimal feedback validation ; Chapter 3. Analytical case studies of smart cities in urban service sectors -- Section 2. Advanced analytics techniques. Chapter 4. Unveiling the factors influencing dengue fever spread and forecasting future epidemiology through path analysis: regression model ; Chapter 5. Clustering and unsupervised learning ; Chapter 6. AI in healthcare: transformative predictive analytics with ML and DL ; Chapter 7. Beyond supervision: exploring unsupervised learning through clustering ; Chapter 8. Understanding the concepts of tools and techniques for data analysis using RStudio -- Section 3. Specialized topics and applications. Chapter 9. Optimal configuration of solar-based combined hydrogen, heat, and power (s-CHHP) to minimize harmonic in point of common coupling (PCC) ; Chapter 10. Innovative advancements in big data analytics: navigating future trends with hadoop integration ; Chapter 11. Data ethics and privacy -- Section 4. Applications across industries and future trends. Chapter 12. Enhancing learner motivation and academic achievement: the impact of the ARCS model of motivational Design on technology-enhanced learning environments ; Chapter 13. Future trends in data analytics ; Chapter 14. Conclusion and practical takeaways. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential.Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence."-- |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 05/17/2024). | ||
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Databases |x Analysis. | |
| 653 | |a Advanced Analytics Techniques. | ||
| 653 | |a Big Data Analytics. | ||
| 653 | |a Case Studies. | ||
| 653 | |a Classification. | ||
| 653 | |a Clustering. | ||
| 653 | |a Data Ethics. | ||
| 653 | |a Data Preparation. | ||
| 653 | |a Exploratory Data Analysis. | ||
| 653 | |a Future Trends. | ||
| 653 | |a Natural Language Processing. | ||
| 653 | |a Predictive Analytics. | ||
| 653 | |a Regression Analysis. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kumari, Aparna, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369336090 |
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| contents | Section 1. Fundamentals of data analytics. Chapter 1. Introduction to data analytics ; Chapter 2. Multidimensional perspective to data preprocessing for model cognition verity: data preparation and cleansing - approaches for model optimal feedback validation ; Chapter 3. Analytical case studies of smart cities in urban service sectors -- Section 2. Advanced analytics techniques. Chapter 4. Unveiling the factors influencing dengue fever spread and forecasting future epidemiology through path analysis: regression model ; Chapter 5. Clustering and unsupervised learning ; Chapter 6. AI in healthcare: transformative predictive analytics with ML and DL ; Chapter 7. Beyond supervision: exploring unsupervised learning through clustering ; Chapter 8. Understanding the concepts of tools and techniques for data analysis using RStudio -- Section 3. Specialized topics and applications. Chapter 9. Optimal configuration of solar-based combined hydrogen, heat, and power (s-CHHP) to minimize harmonic in point of common coupling (PCC) ; Chapter 10. Innovative advancements in big data analytics: navigating future trends with hadoop integration ; Chapter 11. Data ethics and privacy -- Section 4. Applications across industries and future trends. Chapter 12. Enhancing learner motivation and academic achievement: the impact of the ARCS model of motivational Design on technology-enhanced learning environments ; Chapter 13. Future trends in data analytics ; Chapter 14. Conclusion and practical takeaways. |
| ctrlnum | (CaBNVSL)slc00005947 (OCoLC)1434590899 |
| dewey-full | 005.75/65 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00336534 |
| illustrated | Not Illustrated |
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| isbn | 9798369336106 |
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| physical | 26 PDFs (350 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
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| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Recent trends and future direction for data analytics Aparna Kumari, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 26 PDFs (350 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Fundamentals of data analytics. Chapter 1. Introduction to data analytics ; Chapter 2. Multidimensional perspective to data preprocessing for model cognition verity: data preparation and cleansing - approaches for model optimal feedback validation ; Chapter 3. Analytical case studies of smart cities in urban service sectors -- Section 2. Advanced analytics techniques. Chapter 4. Unveiling the factors influencing dengue fever spread and forecasting future epidemiology through path analysis: regression model ; Chapter 5. Clustering and unsupervised learning ; Chapter 6. AI in healthcare: transformative predictive analytics with ML and DL ; Chapter 7. Beyond supervision: exploring unsupervised learning through clustering ; Chapter 8. Understanding the concepts of tools and techniques for data analysis using RStudio -- Section 3. Specialized topics and applications. Chapter 9. Optimal configuration of solar-based combined hydrogen, heat, and power (s-CHHP) to minimize harmonic in point of common coupling (PCC) ; Chapter 10. Innovative advancements in big data analytics: navigating future trends with hadoop integration ; Chapter 11. Data ethics and privacy -- Section 4. Applications across industries and future trends. Chapter 12. Enhancing learner motivation and academic achievement: the impact of the ARCS model of motivational Design on technology-enhanced learning environments ; Chapter 13. Future trends in data analytics ; Chapter 14. Conclusion and practical takeaways. Restricted to subscribers or individual electronic text purchasers. "In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential.Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Database management. Databases Analysis. Advanced Analytics Techniques. Big Data Analytics. Case Studies. Classification. Clustering. Data Ethics. Data Preparation. Exploratory Data Analysis. Future Trends. Natural Language Processing. Predictive Analytics. Regression Analysis. Electronic books. Kumari, Aparna, editor. IGI Global, publisher. Print version: 9798369336090 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3609-0 Volltext |
| spellingShingle | Recent trends and future direction for data analytics Section 1. Fundamentals of data analytics. Chapter 1. Introduction to data analytics ; Chapter 2. Multidimensional perspective to data preprocessing for model cognition verity: data preparation and cleansing - approaches for model optimal feedback validation ; Chapter 3. Analytical case studies of smart cities in urban service sectors -- Section 2. Advanced analytics techniques. Chapter 4. Unveiling the factors influencing dengue fever spread and forecasting future epidemiology through path analysis: regression model ; Chapter 5. Clustering and unsupervised learning ; Chapter 6. AI in healthcare: transformative predictive analytics with ML and DL ; Chapter 7. Beyond supervision: exploring unsupervised learning through clustering ; Chapter 8. Understanding the concepts of tools and techniques for data analysis using RStudio -- Section 3. Specialized topics and applications. Chapter 9. Optimal configuration of solar-based combined hydrogen, heat, and power (s-CHHP) to minimize harmonic in point of common coupling (PCC) ; Chapter 10. Innovative advancements in big data analytics: navigating future trends with hadoop integration ; Chapter 11. Data ethics and privacy -- Section 4. Applications across industries and future trends. Chapter 12. Enhancing learner motivation and academic achievement: the impact of the ARCS model of motivational Design on technology-enhanced learning environments ; Chapter 13. Future trends in data analytics ; Chapter 14. Conclusion and practical takeaways. Database management. Databases Analysis. |
| title | Recent trends and future direction for data analytics |
| title_auth | Recent trends and future direction for data analytics |
| title_exact_search | Recent trends and future direction for data analytics |
| title_full | Recent trends and future direction for data analytics Aparna Kumari, editor. |
| title_fullStr | Recent trends and future direction for data analytics Aparna Kumari, editor. |
| title_full_unstemmed | Recent trends and future direction for data analytics Aparna Kumari, editor. |
| title_short | Recent trends and future direction for data analytics |
| title_sort | recent trends and future direction for data analytics |
| topic | Database management. Databases Analysis. |
| topic_facet | Database management. Databases Analysis. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3609-0 |
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