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Showing 1 to 5 of 5 for “"Approximate string matching"”.
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Approximate string matching methods for duplicate detection and clustering tasks
Approximate string matching methods are utilized by a vast number of duplicate detection and clustering applications in various knowledge domains. The application area is expected to grow due to the recent significant increase in the amount of digital data and knowledge sources. Despite the large …
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Temporal Graph Record Linkage and k-Safe Approximate Match
… processing, using the Soundex as the primary approximate string matching method. The Soundex has been found to be unreliable both as a phonetic and as an approximate string matching method. We found that their data, in many cases, has more than one value per field, suggesting that the data …
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Co-linear Chaining on Graphs With Cycles
Sequence alignment by exact or approximate string matching is one of the fundamental problems in bioinformatics. As the volume of sequenced genomes grows rapidly, pairwise sequence alignment becomes inefficient for pan-genomic analyses involving multiple sequences. The graph representation of …
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Characterizing shale gas and tight oil drilling and production performance variability
… characterize variability in operations by using approximate string matching to compare drilling activity sequences, leading to a metric for operational variability. Activity sequences become more similar over time, consistent with the notion of standardization. Finally, I investigate variability …
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PathMeld: A Methodology for The Unification of Metabolic Pathway Databases
… such as inconsistent nomenclature and substrate matching between databases in the unification of pathway databases. Here, we present the PathMeld methodology to unify KEGG and MetaCyc databases starting from their flat files. Individual PGDBs are transformed into a unified schema that we design. …