Similarity determination between anonymized data items

A system comprising:

• a processor;
• and
• a computer-readable medium operably coupled to the processor, the computer-readable medium having computer-readable instructions stored thereon that, when executed by the processor, cause the system to
• (a) receive data organized into a plurality of records;
• (b) select first characters associated with a field and a first record of the plurality of records;
• (c) subdivide the selected first characters into a first sliding series of a defined number of characters;
• (d) select second characters associated with the field and a second record of the plurality of records;
• (e) subdivide the selected second characters into a second sliding series of the defined number of characters;
• (f) calculate a similarity score between the first sliding series and the second sliding series;
• and
• (g) determine whether the first sliding series and the second sliding series are similar based on the calculated similarity score.

A method of determining a similarity between records in a dataset, the method comprising:

• (a) receiving data organized into a plurality of records at a first device;
• (b) selecting, by the first device, first characters associated with a field and a first record of the plurality of records;
• (c) subdividing, by the first device, the selected first characters into a first sliding series of a defined number of characters;
• (d) selecting, by the first device, second characters associated with the field and a second record of the plurality of records;
• (e) subdividing, by the first device, the selected second characters into a second sliding series of the defined number of characters;
• (f) calculating, by the first device, a similarity score between the first sliding series and the second sliding series;
• and
• (g) determining, by the first device, whether the first sliding series and the second sliding series are similar based on the calculated similarity score.