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Sliding window based weighted periodic pattern mining over time series data
(ibai publishing, 2019-07)
Sliding windows have been crucial in mining time series. Many existing studies focus on reconstruction of the underlying structure (e.g., suffix tree) for each new window. However, when the window size is large or when the ...
An efficient approach for mining weighted frequent patterns with dynamic weights
(ibai publishing, 2019-07)
Weighted frequent pattern (WFP) mining is considered to be more effective than traditional frequent pattern mining because of its consideration of different semantic significance (weights) of items. However, most existing ...
A combined deep-learning and transfer-learning approach for supporting social influence prediction
(Elsevier, 2020)
Social influence is a phenomenon describing the spread of opinions across the population. Nowadays, social influence analysis (SIA) has a great impact. For example, viral marketing and online content recommendation are ...