Though, “Record Linkage” is a popular
word among statisticians, and epidemiologists - “the problem of
matching/joining records from one data source to another which describe the
same entity”; has a long historical attention from the time since data collection
gained (1960s) and continues to gain attention as new methods of collection, formats and
stacks of data being added to the existing. The other popular terms for the
same are deduplication, data matching, entity/name resolution, record matching,
etc. Please, refer to the following paper https://homes.cs.washington.edu/~pedrod/papers/icdm06.pdf, for
one of the good works in this field. Also, one can look at the below
google trends graph for the attention to this filed from 2014 to the present.
The purpose of this blog is to bring
forth, why record linkage needs a scalable computing power, for which I present
my observations with an simple example as show below:
Views expressed
here are from his industry experience. He can be reached at mavuluri.pradeep@gmail or
besteconometrician@gmail.com for more details.
Find more about author at http://in.linkedin.com/in/pradeepmavuluri
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