Noise-tolerant approximate blocking for dynamic real-time entity resolution
Entity resolution is the process of identifying records in one or multiple data sources that represent the same real-world entity. This process needs to deal with noisy data that contain for example wrong pronunciation or spelling errors. Many real world
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|Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|01_Liang_Noise-tolerant_approximate_2014.pdf||329.54 kB||Adobe PDF||Request a copy|
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