A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams

A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams

The mining of frequent weighted patterns (FWPs) that considers the different semantic significance (weight) of items is more suitable for practice than the mining of frequent patterns. Therefore, it plays a vital role in real-world scenarios. However, there exist several limitations when applying me...

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Bibliographic Details
Main Authors: Huong Bui, Tu-Anh Nguyen-Hoang, Bay Vo, Ham Nguyen, Tuong Le
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Pattern mining
data streams
frequent weighted patterns
sliding window model
Online Access:https://ieeexplore.ieee.org/document/9391695/

Internet

https://ieeexplore.ieee.org/document/9391695/

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