基于多维信息数据挖掘的高校定向培训在线平台创新

Li Xu
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引用次数: 0

摘要

本文提出了较为完整的多维动态数据挖掘系统理论框架,构建了多维动态信息表示模型,建立了基于支持向量回归机的时间序列挖掘模型,建立了连续输入输出过程神经网络挖掘模型。以“专业研究中的多维信息处理与应用”为主体结构的新型信息教学系统在我国当前高校创新教育平台中显示出其优势和特点。这种新型的信息化教学系统对高校相关课程的开发、创新教育平台的开发和学生创新能力的培养起到了积极的支撑作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Platform Innovation of Targeted Training in College Education based on Multi-Dimensional Information Data Mining
This paper proposes a relatively complete multidimensional dynamic data mining system theoretical framework, constructs a multi-dimensional dynamic information representation model, establishes a time series mining model based on support vector regression machine, and a continuous input and output process neural network mining model. The new information teaching system with "multi-dimensional information processing and application in professional research" as the main structure has shown its advantages and characteristics in the current innovative education platform of colleges and universities in my country. This new information teaching system has played a positive supporting role in the development of relevant courses, innovative education platforms and students' innovative ability in colleges and universities.
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