scholarly journals Data Stream Classification Algorithms for Workload Orchestration in Vehicular Edge Computing: A Comparative Evaluation

2021 ◽  
Vol 21 (2) ◽  
pp. 101-122
Author(s):  
Mutaz Al-Tarawneh
Keyword(s):  
Comparative Evaluation ◽  
Data Stream ◽  
Edge Computing ◽  
Classification Algorithms ◽  
Stream Classification ◽  
Data Stream Classification

Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing

2020 ◽  
Vol 17 (2) ◽  
pp. 1013-1025 ◽  
Author(s):  
Jessica Fernandes Lopes ◽  
Everton Jose Santana ◽  
Victor G. Turrisi da Costa ◽  
Bruno Bogaz Zarpelao ◽  
Sylvio Barbon
Keyword(s):  
Data Stream ◽  
Edge Computing ◽  
Trade Off ◽  
Stream Classification ◽  
Data Stream Classification

scholarly journals Research on Mining of Applied Mathematics Educational Resources Based on Edge Computing and Data Stream Classification

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Liping Lu ◽  
Jing Zhou
Keyword(s):  
Data Mining ◽  
Mathematics Education ◽  
Data Stream ◽  
Applied Mathematics ◽  
Edge Computing ◽  
Massive Data ◽  
Mathematical Education ◽  
Mining Technology ◽  
Stream Classification ◽  
Data Stream Classification

Facing the massive data of higher education institutions, data mining technology is an intelligent information processing technology that can effectively discover knowledge from the massive data and can discover important information that people have previously ignored from the huge data information. This article is dedicated to the development of applied mathematics education resource mining technology based on edge computing and data stream classification. First of all, this article establishes a resource system architecture suitable for existing applied mathematics education through edge computing technology, which can effectively improve the efficiency of data mining. Secondly, the data stream classification algorithm is used for information extraction and classification integration of massive applied mathematical education data. This method provides potential and valuable information for decision-makers and education practitioners. Finally, the simulation and performance test of the system verify that it has the functions of mathematical information mining and data processing. This system will provide strong support for applied mathematics education reform.

Intrusion Detection over Network Packets using Data Stream Classification Algorithms

2021 ◽  
Author(s):  
Gilberto Olimpio ◽  
Pedro F. C. Silva ◽  
Lasaro Camargos ◽  
Rodrigo S. Miani ◽  
Elaine R. de Faria
Keyword(s):  
Intrusion Detection ◽  
Data Stream ◽  
Classification Algorithms ◽  
Stream Classification ◽  
Data Stream Classification ◽  
Using Data

Analyzing and repairing concept drift adaptation in data stream classification

2021 ◽  
Author(s):  
Ben Halstead ◽  
Yun Sing Koh ◽  
Patricia Riddle ◽  
Russel Pears ◽  
Mykola Pechenizkiy ◽  
...  
Keyword(s):  
Data Stream ◽  
Concept Drift ◽  
Stream Classification ◽  
Data Stream Classification

Chi-MFlexDT: Chi-square-based multi flexible fuzzy decision tree for data stream classification

2021 ◽  
pp. 107301
Author(s):  
Farnaz Mahan ◽  
Maryam Mohammadzad ◽  
Seyyed Meysam Rozekhani ◽  
Witold Pedrycz
Keyword(s):  
Decision Tree ◽  
Data Stream ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Chi Square ◽  
Stream Classification ◽  
Data Stream Classification

A Fuzzy Variant for On-Demand Data Stream Classification

2017 ◽  
Author(s):  
Tiago Pinho da Silva ◽  
Gerson Antonio Urban ◽  
Priscilla De Abreu Lopes ◽  
Heloisa De Arruda Camargo
Keyword(s):  
Data Stream ◽  
Stream Classification ◽  
Data Stream Classification ◽  
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