Learn More
We introduce ClueMaker, the first language designed specifically for approximate record matching. Clues written in ClueMaker predict whether two records denote the same thing based on the values of the records' attributes. For example, a clue may predict match if the records have identical values for the first name attribute. The values of the clues can(More)
We describe an innovative record matching system called ChoiceMaker 2 we developed at ChoiceMaker Technologies (CMT). Firstly, we describe the process by which we use a machine learning technique known as maximum entropy modeling to tune the system to the problem at hand. Secondly, we describe the ClueMaker™ programming language that is used to describe(More)
  • 1