A compressed dynamic self-index for highly repetitive text collections
Copyright policy )A compressed dynamic self-index for highly repetitive text collections
We present a novel compressed dynamic self-index for highly repetitive text collections. Signature encoding is a compressed dynamic self-index for highly repetitive texts and has a large disadvantage that the pattern search for short patterns is slow. We improve this disadvantage for faster pattern search by leveraging an idea behind truncated suffix tree and present the first compressed dynamic self-index named TST-index that supports not only fast pattern search but also dynamic update operation of index for highly repetitive texts. Experiments using a benchmark dataset of highly repetitive texts show that the pattern search of TST-index is significantly improved.
FOS: Computer and information sciences, Data structures, Information storage and retrieval of data, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), Searching and sorting
FOS: Computer and information sciences, Data structures, Information storage and retrieval of data, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), Searching and sorting
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