Title :
Considerations and Algorithms for Compression of Sets
Author_Institution :
IT Univ. of Copenhagen, Copenhagen, Denmark
Abstract :
We consider compression of unordered sets of distinct elements, focusing particularly on compressing sets of fixed-length bit strings in the presence of statistical information. We address previous work, and outline a novel compression algorithm that allows transparent incorporation of various estimates for probability distribution. Experiments allow the conclusion that set compression can benefit from incorporating statistics, using our method or variants of previously known techniques.
Keywords :
data compression; encoding; statistical distributions; complementary subset; distinct element unordered set compression; element probability estimates; encoding; fixed-length bit string compressing sets; probability distribution; set compression; statistical information; Algorithm design and analysis; Context; Data compression; Decoding; Educational institutions; Encoding; Indexes;
Conference_Titel :
Data Compression Conference (DCC), 2013
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4673-6037-1
DOI :
10.1109/DCC.2013.83