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
Systems of concepts such as colors, animals, cities, and arti-facts are richly structured, and peopl...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
The ability to learn from observations and to modify our understanding of the world based on experie...
Very recently, the unexpected combination of data structures and machine learning has led to the de...
It is widely believed that understanding data structure is a crucial ingredient to push forward our ...
It is widely believed that understanding data structure is a crucial ingredient to push forward our ...
Machine learning develops intelligent computer systems that are able to generalize from previously s...
This paper demonstrates how to explore and visualize different types of structure in data, including...
Structures are present in almost everything around us. In most of the systems that we interact with,...
First chapter is about basic information pattern learning. Second chapter is about solutions of patt...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
We live in the era of data and need tools to discover valuable information in large amounts of data....
Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract ...
Much of current data mining research is focused on discovering sets of attributes that discriminate ...
With the aim of obtaining time/space improvements in classic Data Structures, an emerging trend is t...
Systems of concepts such as colors, animals, cities, and arti-facts are richly structured, and peopl...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
The ability to learn from observations and to modify our understanding of the world based on experie...
Very recently, the unexpected combination of data structures and machine learning has led to the de...
It is widely believed that understanding data structure is a crucial ingredient to push forward our ...
It is widely believed that understanding data structure is a crucial ingredient to push forward our ...
Machine learning develops intelligent computer systems that are able to generalize from previously s...
This paper demonstrates how to explore and visualize different types of structure in data, including...
Structures are present in almost everything around us. In most of the systems that we interact with,...
First chapter is about basic information pattern learning. Second chapter is about solutions of patt...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
We live in the era of data and need tools to discover valuable information in large amounts of data....
Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract ...
Much of current data mining research is focused on discovering sets of attributes that discriminate ...
With the aim of obtaining time/space improvements in classic Data Structures, an emerging trend is t...
Systems of concepts such as colors, animals, cities, and arti-facts are richly structured, and peopl...
A recent trend in algorithm design consists of augmenting classic data structures with machine learn...
The ability to learn from observations and to modify our understanding of the world based on experie...