Very recently, the unexpected combination of data structures and machine learning has led to the development of a new area of research, called learned data structures. Their distinguishing trait is the ability to reveal and exploit patterns and trends in the input data for achieving more efficiency in time and space, compared to previously known data structures. The goal of this chapter is to provide the first comprehensive survey of these results and to stimulate further research in this promising area.
Learned Data Structures
Paolo Ferragina;
2020-01-01
Abstract
Very recently, the unexpected combination of data structures and machine learning has led to the development of a new area of research, called learned data structures. Their distinguishing trait is the ability to reveal and exploit patterns and trends in the input data for achieving more efficiency in time and space, compared to previously known data structures. The goal of this chapter is to provide the first comprehensive survey of these results and to stimulate further research in this promising area.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
BookChapter__Learned_data_structures.pdf
accesso aperto
Tipologia:
Documento in Pre-print/Submitted manuscript
Licenza:
Copyright dell'editore
Dimensione
382.01 kB
Formato
Adobe PDF
|
382.01 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.