Add to ORKGMany applications dealing with large data structures can benefit from keeping them in compressed form. Compression has many benefits: it can allow a representation to fit in main memory rather than swapping out to disk, and it improves cache performance since it allows more data to fit into the cache. However, a data structure is only useful if it allows the application to perform fast queries (and updates) to the data
Many database applications make extensive use of bitmap indexing schemes. In this paper, we study ho...
We propose measures for compressed data structures, in which space usage is measured in a data-aware...
Abstract. Evaluating a query can involve manipulation of large vol-umes of temporary data. When the ...
In recent years, there has been an explosion of interest in succinct data structures, which store th...
The world is drowning in data. The recent explosion of web publishing, XML data, bioinformation, sci...
Data compression is one way to gain better performance from a database. Compression is typically ach...
Compression reduces both the size of indexes and the time needed to evaluate queries. In this paper,...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
In modern computer systems, memory accesses and power management are the two major performance limit...
Low-latency, high-throughput systems for serving interactive queries are crucial to today's web serv...
Data Compression is today essential for a wide range of applications: for example Internet and the W...
The last few years have seen an exponential increase, driven by many disparate fields such as big da...
Many database applications make extensive use of bitmap indexing schemes. In this paper, we study h...
Growing user expectations of anywhere, anytime access to information require new types of data repre...
We propose measures for compressed data structures, in which space usage is mea- sured in a data-awa...
Many database applications make extensive use of bitmap indexing schemes. In this paper, we study ho...
We propose measures for compressed data structures, in which space usage is measured in a data-aware...
Abstract. Evaluating a query can involve manipulation of large vol-umes of temporary data. When the ...
In recent years, there has been an explosion of interest in succinct data structures, which store th...
The world is drowning in data. The recent explosion of web publishing, XML data, bioinformation, sci...
Data compression is one way to gain better performance from a database. Compression is typically ach...
Compression reduces both the size of indexes and the time needed to evaluate queries. In this paper,...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
In modern computer systems, memory accesses and power management are the two major performance limit...
Low-latency, high-throughput systems for serving interactive queries are crucial to today's web serv...
Data Compression is today essential for a wide range of applications: for example Internet and the W...
The last few years have seen an exponential increase, driven by many disparate fields such as big da...
Many database applications make extensive use of bitmap indexing schemes. In this paper, we study h...
Growing user expectations of anywhere, anytime access to information require new types of data repre...
We propose measures for compressed data structures, in which space usage is mea- sured in a data-awa...
Many database applications make extensive use of bitmap indexing schemes. In this paper, we study ho...
We propose measures for compressed data structures, in which space usage is measured in a data-aware...
Abstract. Evaluating a query can involve manipulation of large vol-umes of temporary data. When the ...