Longest common subsequence algorithm
Online tool to test the Longest common subsequence algorithm
What is the Longest common subsequence algorithm?
The longest common subsequence (LCS) is a well-known algorithm for finding the longest subsequence common to two or more sequences. It is commonly used in bioinformatics and other fields where sequence data is prevalent. The algorithm works by finding the longest subsequence that is present in all of the input sequences, and it does this by comparing the sequences one element at a time and keeping track of which elements are common to all of the sequences. The final output is the longest subsequence that was found.
At Tilores we use the Longest common subsequence algorithm as one of the potential data record matching algorithms for entity resolution. These can be combined with other matching algorithms to allow fine-tuned data matching and deduplication.
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About Tilores
When you need to do fuzzy matching on high-volume data in real-time, you need a built-for-purpose technology: enter Tilores.
Consistently fast search response times
Built for unlimited serverless scaling
Real-time data ingestion and simultaneous search.
Configure matching rules easily in the UI
Data privacy compliant by design