Topic Detection and Tracking Based on Windowed DBSCAN and Parallel KNN

Topic Detection and Tracking Based on Windowed DBSCAN and Parallel KNN

Topic Detection and Tracking technique (TDT) has been commonly used to identify the hot topics from the huge volume of Internet news information and keep up with the hot news. However, traditional topic detection and tracking methods have shown low accuracy and low efficiency. In this paper, a topic...

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Bibliographic Details
Main Authors: Chuanzhen Li, Minqiao Liu, Juanjuan Cai, Yang Yu, Hui Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Big data
DBSCAN
parallelized
TDT
Online Access:https://ieeexplore.ieee.org/document/9308948/

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