Abstract: The problem of frequent pattern mining in continuous streams has been widely studied in the literature because of its numerous applications to a variety of data stream mining problems such as clustering and classification. In addition, frequent pattern mining also has numerous applications in diverse domains such as retail market data analysis, network monitoring, web usage mining and stock market prediction. The algorithmic aspects of frequent pattern mining in streams have been explored very widely. This study provides an overview of these methods.