TY  - JOUR
T1  - Frequent Pattern Mining in Data Streams
AU - Mirabedini, Shirin AU - Panah, Mahdi Ahmadi AU - Darbanian, Maryam 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 4
SP  - 857
EP  - 863
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.857.863
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.857.863
KW  - Association rule
KW  -data streams
KW  -frequent pattern mining
KW  -explored
KW  -diverse
AB  - 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.
ER  -