解决大数据分类问题的各种技术分析

Q1 Mathematics

International Review on Modelling and Simulations Pub Date : 2021-08-31 DOI:10.15866/iremos.v14i4.20987

Mei Lu

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of Various Techniques for Solving the Problem of Big Data Classification

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来源期刊

International Review on Modelling and Simulations Engineering-Mechanical Engineering

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： The International Review on Modelling and Simulations (IREMOS) is a peer-reviewed journal that publishes original theoretical and applied papers concerning Modelling, Numerical studies, Algorithms and Simulations in all the engineering fields. The topics to be covered include, but are not limited to: theoretical aspects of modelling and simulation, methods and algorithms for design control and validation of systems, tools for high performance computing simulation. The applied papers can deal with Modelling, Numerical studies, Algorithms and Simulations regarding all the engineering fields; particularly about the electrical engineering (power system, power electronics, automotive applications, power devices, energy conversion, electrical machines, lighting systems and so on), the mechanical engineering (kinematics and dynamics of rigid bodies, vehicle system dynamics, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, computational mechanics, mechanics of materials and structures, plasticity, hydromechanics, aerodynamics, aeroelasticity, biomechanics, geomechanics, thermodynamics, heat transfer, refrigeration, fluid mechanics, micromechanics, nanomechanics, robotics, mechatronics, combustion theory, turbomachinery, manufacturing processes and so on), the chemical engineering (chemical reaction engineering, environmental chemical engineering, materials synthesis and processing and so on). IREMOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas.