Applying data mining in education enables a better understanding of how a student is progressing. This could also be used to identify ways in which one can improve educational outcomes. This paper discussed a specific example of Apriori algorithm (a popularly used in data mining) in generating ...
How to utilize a variety of derivatives so as to obtain positive investment return in different economies concerns the general investors. The present research utilizes a modified APRIORI algorithm called Multi-Dimension Non-Continuous (MDNC), an algorithm by eliminating the limitations imposed by tradit...
基于Apriori改进算法的中药处方分析技术 The Technique of TCM Prescription Analysis Based on Apriori Improved Algorithm 热度: A Developed Algorithm of Apriori Based on Association Analysis 热度: Data Mining Association Rules Algorithm Apriori and :数据挖掘中的关联规则算法Apriori算法和 热度: 相关...
In this paper, individualized teaching assistant system for the study, using Apriori association rules algorithm to tap student achievement in a course of work, for example, to identify error-prone sections of the association rules between knowledge,thus consolidating the knowledge students need to ...
InstituteofRemoteSensingandGeographicInformationSystems,PekingUniversity,Beijing,100871,China KEYWARDS:Datamining,TemporalAssociationRuleMining,ASequenceofEcologicalEvents ABSTRACT: Anewalgorithm“T-Apriori”basedontimeconstraintisdesignedandimplementedonthebasisofanalyzingtherelateddefinitions ...
Apriori algorithm in student result analysis application and research 相关内容 a一个小时后 After an hour [translate] a人才培养方案 Personnel training plan [translate] ai won't go to bed after i finish it. 在我完成它之后,我不会上床。 [translate] a把经开区打造成巢湖市工业发展的高地,企业家投...
However, most of the learning concept maps have to be constructed through the suggestions of experts or scholars in related realm. It is really a complicated and time-consuming knowledge acquisition process. The study proposed to apply the algorithm of Apriori for Concept Map to develop an ...
The Apriori algorithm [224] has also been used to generate rules for every task, in order to select the Edge node that offers the minimum completion time. Linear Regression [225] has been used to predict the total processing duration of each task on each candidate Edge node, in order to...
K最近邻算法不仅是协同过滤问题的解决方案。上面的基于规则(rule-based)的算法使用APRIORI方法从交互矩阵生成规则集。具有足够支持的规则随后可用于生成建议的候选。 K-NN和基于规则的算法之间的重要区别是学习和召回的速度。机器学习(machine learning)模型分两个阶段运行:在学习(learning)阶段构建模型,在召回(recalling...
This paper discusses the development of teaching appraisal system,base on KDD.It introduces the development tools of system and the function of modules.This paper use association rules of apriori algorithm and analyze teaching appraisal information.User's information to access the system is recorded ...