Dettagli del libro
Formato
Kindle
Pagine
943
Lingua
Inglese
Pubblicato
Nov 23, 2022
Editore
Springer
ISBN-10
3031220641
ISBN-13
9783031220647
Descrizione
At the heart of this two-volume collection lies the latest findings in advanced data mining gathered from the 18th International Conference held in Brisbane, Australia. Esteemed researchers share their insights, presenting innovative methods and applications that push the boundaries of the field. The work encapsulates a vibrant mix of theoretical frameworks and practical solutions, appealing to both seasoned professionals and newcomers alike.
With contributions from distinguished authors, the volumes delve into diverse topics, showcasing cutting-edge research and methodologies that are shaping the landscape of data mining. This compilation serves not only as a testament to the advancements made but also as a rich resource for those eager to explore the complexities and vast potential of data in various applications.
As readers engage with these proceedings, they will find themselves immersed in a dialogue of knowledge and discovery. The work encapsulates the spirit of collaboration and innovation that defines the data mining community, fostering a deeper understanding of the challenges and opportunities that lie ahead in this dynamic field.
With contributions from distinguished authors, the volumes delve into diverse topics, showcasing cutting-edge research and methodologies that are shaping the landscape of data mining. This compilation serves not only as a testament to the advancements made but also as a rich resource for those eager to explore the complexities and vast potential of data in various applications.
As readers engage with these proceedings, they will find themselves immersed in a dialogue of knowledge and discovery. The work encapsulates the spirit of collaboration and innovation that defines the data mining community, fostering a deeper understanding of the challenges and opportunities that lie ahead in this dynamic field.
Generi
Business ed Economia