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» Faster Filters for Approximate String Matching
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LCN
2008
IEEE
14 years 2 months ago
P2P directory search: Signature Array Hash Table
— Bloom filters are a well known data structure for approximate set membership. Bloom filters are space efficient but require many independent hashes and consecutive memory acces...
Miguel Jimeno, Kenneth J. Christensen
ICAIL
2003
ACM
14 years 1 months ago
A Comparative Evaluation of Name-Matching Algorithms
Name matching—recognizing when two different strings are likely to denote the same entity—is an important task in many legal information systems, such as case-management syste...
Karl Branting
SIGMETRICS
2010
ACM
213views Hardware» more  SIGMETRICS 2010»
14 years 1 months ago
Small subset queries and bloom filters using ternary associative memories, with applications
Associative memories offer high levels of parallelism in matching a query against stored entries. We design and analyze an architecture which uses a single lookup into a Ternary C...
Ashish Goel, Pankaj Gupta
CPM
2001
Springer
211views Combinatorics» more  CPM 2001»
14 years 1 months ago
Fuzzy Hamming Distance: A New Dissimilarity Measure
Lempel Ziv Coding (Extended Abstract). . . . . . . . . . . . . . . . . . . . . . . 18 Shmuel Tomi Klein, Yair Wiseman Approximate Matching of Run-Length Compressed Strings . . . . ...
Abraham Bookstein, Shmuel T. Klein, Timo Raita
SIGMOD
2011
ACM
150views Database» more  SIGMOD 2011»
12 years 11 months ago
WHAM: a high-throughput sequence alignment method
Over the last decade the cost of producing genomic sequences has dropped dramatically due to the current so called “next-gen” sequencing methods. However, these next-gen seque...
Yinan Li, Allison Terrell, Jignesh M. Patel