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20062020
most citedTag-Cloud Drawing: Algorithms for Cloud Visualization

192 citations · 726 across the 22 of their papers we have counts for

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Showing cs.DBShow all

16 papers · 1 filter

cs.DB2017★ 50 cited

Roaring Bitmaps: Implementation of an Optimized Software Library

Daniel Lemire, Owen Kaser, Nathan Kurz +4

Compressed bitmap indexes are used in systems such as Git or Oracle to accelerate queries. They represent sets and often support operations such as unions, intersections, differenc…

cs.DB2016★ 57 cited

Consistently faster and smaller compressed bitmaps with Roaring

Daniel Lemire, Gregory Ssi-Yan-Kai, Owen Kaser

Compressed bitmap indexes are used in databases and search engines. Many bitmap compression techniques have been proposed, almost all relying primarily on run-length encoding (RLE)…

cs.DB2014★ 164 cited

Better bitmap performance with Roaring bitmaps

Samy Chambi, Daniel Lemire, Owen Kaser +1

Bitmap indexes are commonly used in databases and search engines. By exploiting bit-level parallelism, they can significantly accelerate queries. However, they can use much memory,…

cs.DB2014★ 14 cited

Compressed bitmap indexes: beyond unions and intersections

Owen Kaser, Daniel Lemire

Compressed bitmap indexes are used to speed up simple aggregate queries in databases. Indeed, set operations like intersections, unions and complements can be represented as logica…

cs.DB2014★ 1 cited

Threshold and Symmetric Functions over Bitmaps

Owen Kaser, Daniel Lemire

Bitmap indexes are routinely used to speed up simple aggregate queries in databases. Set operations such as intersections, unions and complements can be represented as logical oper…

cs.DB2012★ 1 cited

Reordering Rows for Better Compression: Beyond the Lexicographic Order

Daniel Lemire, Owen Kaser, Eduardo Gutarra

Sorting database tables before compressing them improves the compression rate. Can we do better than the lexicographical order? For minimizing the number of runs in a run-length en…