Emerging patterns (EPs) which found in 1999 has been proven as strong discriminator which strongly describe significant between 2 datasets. As strong discriminator, EPs will be interested to be used, applied and mixed in many algorithms for finding patterns in many different datasets particularly for text datasets. Using EPs algorithm in Database Management Systems (DBMS) such as MySQL, SQLServer and etc will be interested as well and need to be explored. The differences between 2 datasets literally discriminate knowledge between those datasets which represent with growthrate number as justification of EPs. Moreover, confidence of EPs can be measured in order to secure of finding EPs where confidence will have 100% as maximum score. Since the discrimination is not only between 2 datasets then EPs algorithms have been extended to discriminate between more than 2 datasets which recognized as EPs classification and there are many EPs classification algorithms including Jumping EPs classification as well.
DOI: https://doi.org/10.1109/cyberneticscom.2017.8311714
Publish Year: 2017
