Детали книги
Формат
Kindle
Страницы
283
Язык
Английский
Опубликовано
Jan 1, 2020
Издатель
Springer
Издание
1st ed. 2020
ISBN-10
3030604705
ISBN-13
9783030604707
Описание
This volume presents a carefully curated collection of studies emerging from the various workshops held at the PAKDD 2020 event in Singapore. It encapsulates the latest trends and innovative applications in the fields of knowledge discovery and data mining. The contributors, including esteemed researchers and practitioners, delve into a wide range of topics, showcasing their findings and the methodologies employed in their research.
Through its pages, readers are invited to explore critical advancements that contribute to the efficient handling of big data and enhance decision-making processes. Each contribution reflects a rigorous academic approach, ensuring that the content is both substantive and relevant to ongoing discussions in artificial intelligence and data mining.
The workshops addressed vital aspects such as data security, application frameworks, and predictive modeling, highlighting their significance in real-world applications. By synthesizing these diverse insights, the book serves as a valuable resource for those interested in staying at the forefront of data science and analytics.
With its emphasis on collaboration and cutting-edge research, the publication not only contributes to academic discourse but also serves as a practical guide for industry professionals seeking to apply these innovative techniques in their work. This collection stands as a testament to the dynamic evolution of knowledge discovery and data mining in an increasingly data-driven world.
Through its pages, readers are invited to explore critical advancements that contribute to the efficient handling of big data and enhance decision-making processes. Each contribution reflects a rigorous academic approach, ensuring that the content is both substantive and relevant to ongoing discussions in artificial intelligence and data mining.
The workshops addressed vital aspects such as data security, application frameworks, and predictive modeling, highlighting their significance in real-world applications. By synthesizing these diverse insights, the book serves as a valuable resource for those interested in staying at the forefront of data science and analytics.
With its emphasis on collaboration and cutting-edge research, the publication not only contributes to academic discourse but also serves as a practical guide for industry professionals seeking to apply these innovative techniques in their work. This collection stands as a testament to the dynamic evolution of knowledge discovery and data mining in an increasingly data-driven world.
Жанры
Наука и технологии