Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... II

Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, ... II

Danai Koutra , Claudia Perlich , Natali Ruchansky
Ancora nessuna valutazione
2023 · Inglese · Brossura
Aggiungi allo scaffale

Valuta questo libro


Esporta diario dei libri

Descrizione

This book captures the latest advancements in machine learning and knowledge discovery as presented at the European Conference, ECML PKDD 2023. With contributions from a diverse group of experts, it serves as a vital resource for researchers and practitioners alike, keen to explore innovative methodologies and applications within the field.

The proceedings highlight cutting-edge research that pushes the boundaries of what is possible with data analytics. Readers will find a rich collection of studies that examine various aspects of machine learning, not only in theory but also in practice, showcasing real-world implementations that emphasize the importance of these techniques.

Danai Koutra and colleagues bring their extensive expertise to the forefront, ensuring that the collection remains at the leading edge of knowledge discovery. This collaborative work is an essential read for anyone looking to deepen their understanding and stay informed about current trends and future directions in machine learning.

Dettagli del libro

Formato Brossura
Pagine 773 pagine
Lingua Inglese
Pubblicato set 17, 2023
Editore Springer
ISBN-10 3031434145
ISBN-13 9783031434143
Aggiungi allo scaffale

Valuta questo libro


Esporta diario dei libri