Research on data stream mining algorithm for frequent itemsets based on sliding window model
Hongmei Wang, Fentian Li, Dongkai Tang, Zeru Wang · 2017
With the continuous expansion of the data stream applications, the data stream frequent pattern mining is becoming a hot research topic in the field of data mining, the domestic and foreign scholars put forward a large number of data stream frequent itemsets mining algorithms. This paper improves the related definitions of frequent itemsets and sliding windows, classifies sliding windows from data processing models, analyzes the use of sliding windows in typical frequent itemsets mining algorithms, and summarizes the mining techniques and efficiency of typical frequent itemsets mining algorithms.