What is the concept of ontologies in artificial intelligence?

Fuzzy matching is a more nuanced approach to data matching. Rather than flagging records as a 'match' or 'non-match' based on exact match algorithms, fuzzy ... Mar 1, 2022 ... I have a list of project names, and I want to search for similar project names in the same dataset. My current method involves using a macro and a CALL EXECUTE ... Jul 28, 2021 ... Fuzzy Matching is definitely a process that you are going to need to play around with. Since it's not an exact science, getting the best results ... Jun 1, 2021 ... This matching involves two steps: first, the comparison and evaluation of specific fields, and second, combining the scores of the selected ... Sep 29, 2011 ... I am looking for is code, or a query, or both that will enable me to produce a report showing how closely the Customer records in Table 1 match Customer ... Jun 15, 2016 ... Yes you can. We are doing it right now and it works like a charm. If you do Database.insert, you can capture duplicate rule exceptions in your APEX code. Sep 27, 2021 ... 1) They Fuzzy Match tool, regardless if you use merge or purge mode, will match every record against each other. For this reason it needs a way ... Aug 2, 2007 ... Nicole Dequin wrote: I know of an agency who sets their fuzzy match threshold for every project at 85%. I heard the reason they give is that ... Oct 28, 2022 ... I'm trying to configure Elasticsearch to give me both exact matches and fuzzy matches and also phrase matches. Oct 28, 2020 ... I would like to do a fuzzy matching process based on (ideally) three string variables. I have experimented with using matchit and reclink, but there are ...