Abstract: Approximate string matching algorithms, which permit mismatched characters, are extensively employed in software featuring search tools, database management systems, and various applications ...
Abstract: Current relational database systems are deterministic in nature and lack the support for approximate matching. The result of approximate matching would be the tuples annotated with the ...
This project implements a dual-function BK Tree (Burkhard-Keller Tree) system. The BK Tree, a data structure designed for discrete metric spaces, has been adapted here for two purposes: performing ...
Source code for the software implementations of the GenASM algorithms proposed in our MICRO 2020 paper: Senol Cali et. al., "GenASM: A High-Performance, Low-Power Approximate String Matching ...
On Friday the 19th of February 2021, M.Sc. Pengfei Xu will defend his doctoral thesis on Efficient Approximate String Matching with Synonyms and Taxonomies. The thesis is related to research done in ...
On Friday, 19th of February 2021, M.Sc. Pengfei Xu defended his doctoral thesis Efficient Approximate String Matching with Synonyms and Taxonomies. The event has invited Professor Jiaheng Lu ...
ABSTRACT: Edit distance measures the similarity between two strings (as the minimum number of change, insert or delete operations that transform one string to the other). An edit sequence s is a ...
ABSTRACT: Pattern matching is a very important topic in computer science. It has been used in various applications such as information retrieval, virus scanning, DNA sequence analysis, data mining, ...
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