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A tool to generate synthetic test data useful to Record matchers
With growing amount of information from multiple sources it has become very hard to relate information to the correct real life entities. Record matching software try to solve this by machinelearning techniques. To do this effectively, its necessary to train the record matcher with proper test data which is identical to real life data. Hence, there is a need for a data generator to create the synthetic data to be used for evaluating the quality and capability of record matching software.
A data generator creates qualitative test data considering various the real life data glitches entered through various means like human data entry, voice dictation and data scanning. ...