fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...

Web systems have become a valuable source of semi-structured and streaming data. In this sense, Entity Resolution (ER) has key solution for integrating multiple data sources or identifying similarities between items, namely entities. To avoid the quadratic costs ER task improve efficiency, blocking techniques are usually applied. Beyond traditional challenges faced by and, consequently, techniq...