Efficient development of a rule-based system using crowd-sourcing

A method of data cleansing, said method comprising:

• utilizing at least one processor to execute computer code configured to perform the steps of:
• accessing data records;
• converting said data records to an intermediate form;
• utilizing intermediate forms of said data records to compute similarity scores of individual ones of said data records with respect to one another;
• from among said data records, providing at least one example record for rule making;
• and
• thereafter selecting from among said data records at least one additional example record for rule making;
• the additional example record comprising at least one record presenting at least one similarity score which indicates a least similarity with respect to the at least one example record already provided;
• the at least one example record and the at least one additional example record comprising a rule set;
• and
• employing a difficulty method to select from among said data records at least one training instance for updating the rule set;
• the selected at least one training instance comprising at least one example record presenting at least one similarity score which indicates a least similarity with respect to at least one example record in the rule set.