摘要
当今正处于一个大数据时代,数据挖掘与大数据分析技术吸引了信息化产业领域的大量关注,移动互联网、物联网中存在大量可以广泛利用的数据,有效使用这些数据可以从中获得很多有用的知识和信息。数据挖掘与大数据分析技术这门课程同时兼具实践性和理论性,能够提升学生的编程能力及创新能力。通过实际的数据库应用需求,可以提高学生对数据的处理及分析能力,能够对数据模型进行专业的分析和评估,进而加强学生在数据处理领域的专业水准,提升学生的运算能力、分析能力以及处理问题的能力。如何在实际教学过程中更好地将理论和实践融合起来,也是数据挖掘与大数据分析课程中的一个难点和关键问题。
In today's era of big data,data mining and big data analysis technology have attracted a lot of attention in the field of information technology industry,because there is a large amount of widely available data in the mobile internet and the Internet of Things,and effective use of these data can obtain a lot of useful knowledge and information.The course of data mining and big data analysis technology combines practicality and theory,which can enhance students'programming and innovation abilities.Through practical database application requirements,students'ability to process and analyze data can be improved,and professional analysis and evaluation of data models can be carried out,thereby strengthening their professional level in the field of data processing and enhancing their computational,analytical,and problem-solving abilities.However,how to better integrate theory and practice in the actual teaching process is also a difficult and key issue in the course of data mining and big data analysis.
作者
吴锦梦
马雷
张耀宗
WU Jinmeng;MA Lei;ZHANG Yaozong(School of Electrical and Information Engineering Wuhan Institute of Technology,Wuhan Hubei,430205)
出处
《科教导刊》
2023年第14期95-97,共3页
The Guide Of Science & Education
基金
2021年湖北省自然科学基金项目“基于无人船艇智能监测的实时三维多目标检测关键技术研究”(2021CFB255)
