國立虎尾科技大學 |

Machine learning and data science techniques for effective government service delivery

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning and data science techniques for effective government service delivery/ Olalekan Samuel Ogunleye, editor.
其他作者:	Ogunleye, Olalekan Samuel,
出版者:	Hershey, Pennsylvania :IGI Global, : 2024.,
面頁冊數:	1 online resource (344 p.)
標題:	Data mining. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9716-6
ISBN:	9781668497180

Machine learning and data science techniques for effective government service delivery
Machine learning and data science techniques for effective government service delivery[electronic resource] /Olalekan Samuel Ogunleye, editor. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (344 p.)

Includes bibliographical references and index.

Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges.

"In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21stcentury, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored forexperts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future."--

ISBN: 9781668497180Subjects--Topical Terms:

528622
Data mining.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: JF1525.A8 / M336 2024e

Dewey Class. No.: 352.70285/531

Machine learning and data science techniques for effective government service delivery
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300 $a 1 online resource (344 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges.
520 3 $a "In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21stcentury, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored forexperts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future."-- $c Provided by publisher.
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