Multi Source Data Association Clustering Analysis Based on Symmetric Encryption Algorithm

Due to the low clustering accuracy of the existing methods, a multi-source data association clustering method based on symmetric encryption algorithm is proposed. The multi-source data acquisition model is established, and the baud interval equalization sampling method is adopted to acquire data. Th...

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Vydáno v:	Mobile networks and applications Ročník 27; číslo 4; s. 1359 - 1367
Hlavní autor:	Wang, Haiqing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.08.2022 Springer Nature B.V
Témata:	Accuracy Algorithms Classification Cluster analysis Clustering Communications Engineering Computer Communication Networks Data acquisition Data collection Data transmission Decision making Electrical Engineering Engineering IT in Business Methods Networks Spectrum allocation Traffic congestion Wavelet transforms Symmetric encryption algorithm Multi source data Data generalization method Baud interval equalization Association clustering
ISSN:	1383-469X, 1572-8153
On-line přístup:	Získat plný text
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