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» Compression, Indexing, and Retrieval for Massive String Data
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FOCS
2009
IEEE
13 years 11 months ago
Space-Efficient Framework for Top-k String Retrieval Problems
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
PODS
2006
ACM
216views Database» more  PODS 2006»
14 years 7 months ago
Cache-oblivious string B-trees
B-trees are the data structure of choice for maintaining searchable data on disk. However, B-trees perform suboptimally ? when keys are long or of variable length, ? when keys are...
Michael A. Bender, Martin Farach-Colton, Bradley C...
CORR
2007
Springer
88views Education» more  CORR 2007»
13 years 7 months ago
Faster subsequence recognition in compressed strings
Abstract. Processing compressed strings without decompression is often essential when dealing with massive data sets. We consider local subsequence recognition problems on strings ...
Alexandre Tiskin
SIGIR
2009
ACM
14 years 1 months ago
Compressing term positions in web indexes
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
Hao Yan, Shuai Ding, Torsten Suel
SPIRE
2007
Springer
14 years 1 months ago
Approximate String Matching with Lempel-Ziv Compressed Indexes
Abstract. A compressed full-text self-index for a text T is a data structure requiring reduced space and able of searching for patterns P in T. Furthermore, the structure can repro...
Luís M. S. Russo, Gonzalo Navarro, Arlindo ...