publication . Conference object . Preprint . 2013

LZ-Compressed String Dictionaries

Arz, Julian; Fischer, Johannes;
Open Access
  • Published: 03 May 2013
  • Publisher: IEEE
We show how to compress string dictionaries using the Lempel-Ziv (LZ78) data compression algorithm. Our approach is validated experimentally on dictionaries of up to 1.5 GB of uncompressed text. We achieve compression ratios often outperforming the existing alternatives, especially on dictionaries containing many repeated substrings. Our query times remain competitive.
ACM Computing Classification System: Data_CODINGANDINFORMATIONTHEORYTheoryofComputation_MISCELLANEOUS
free text keywords: Computer science, Pattern recognition, Data structure, Encoding (memory), Compression ratio, Search engine indexing, Lossless compression, Speech recognition, Substring, Data compression, Theoretical computer science, Artificial intelligence, business.industry, business, Uncompressed video, Computer Science - Data Structures and Algorithms

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publication . Conference object . Preprint . 2013

LZ-Compressed String Dictionaries

Arz, Julian; Fischer, Johannes;