Educational resource information sharing algorithm based on big data association mining and quasi-linear regression analysis

Yanjun Gao

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Educational resource information sharing algorithm based on big data association mining and quasi-linear regression analysis

机译：基于大数据关联挖掘和准线性回归分析的教育资源信息共享算法

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In order to solve the problem that the information sharing level of educational resources is not high in the cloud computing environment, it is required to improve the design of educational resource information sharing algorithm in cloud computing environment. Therefore, an educational resource information sharing algorithm based on big data association mining and quasi-linear regression analysis is proposed. In this algorithm, information fusion and comprehensive measurement index system reconstruction are performed to resource distribution information of the educational resource database based on attribute type and semantic ontology characteristics. The simulation results show that the algorithm performs well in convergence during resource scheduling in educational resource information sharing and can provide average sharing level up to 0.9247, so this algorithm can be adopted to allocate resources in a balance way.

机译：为了解决云计算环境下教育资源信息共享水平不高的问题，需要改进云计算环境下教育资源信息共享算法的设计。因此，提出了一种基于大数据关联挖掘和准线性回归分析的教学资源信息共享算法。该算法基于属性类型和语义本体特征，对教育资源数据库的资源分布信息进行信息融合和综合测度指标体系重构。仿真结果表明，该算法在教育资源信息共享的资源调度过程中收敛性能良好，平均共享等级可达0.9247，可以采用均衡的方式进行资源分配。

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《International Journal of Continuing Engineering Education and Life-long Learning》 |2019年第4期|336-348|共13页
作者
Yanjun Gao;
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作者单位

School of Educational Fuyang Normal College;

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原文格式 PDF
正文语种 eng
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关键词
educational resource information management system; resources; information sharing; big data; scheduling;

机译：教育资源信息管理系统;资源;信息共享;大数据;排程;

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机译：教育数据挖掘：基于调查和基于数据挖掘的最新作品分析
2. Disease prediction in data mining using association rule mining and keyword based clustering algorithms [J] . International Journal of Computers & Applications . 2020,第1a2期

机译：使用关联规则挖掘和基于关键字的聚类算法进行数据挖掘中的疾病预测
3. Performance Evaluation of Algorithms using a Distributed Data Mining Frame Work based on Association Rule Mining [J] . P.T.Kavitha, Dr.T.Sasipraba International Journal on Computer Science and Engineering . 2011,第12期

机译：基于关联规则挖掘的分布式数据挖掘框架算法的性能评估
4. A Traditional Analysis for Efficient Data Mining with Integrated Association Mining into Regression Techniques [C] . G. SuryaNarayana, Kamakshaiah Kolli, Mohd Dilshad Ansari, International Conference on Communications and Cyber Physical Engineering . 2020

机译：综合协会挖掘成综合矿业进入回归技术的传统分析
5. Educational data mining: Collection and analysis of score matrices for outcomes-based assessment. [D] . Winters, Titus deLaFayette. 2006

机译：教育数据挖掘：基于结果的评估的得分矩阵的收集和分析。
6. Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource [O] . Rashmie Abeysinghe, Licong Cui 2018

机译：基于查询约束的关联规则挖掘用于国家睡眠研究资源中临床数据集的探索性分析
7. : "This paper deals with the functionality of the flaked stone assemblages from several Neolithic sites of the NE of the Iberian Peninsula. The chronological framework ranges from the mid-6th to the mid-4th millennium cal. BCE, which corresponds to the Early and Middle Neolithic. This long period ranges from the arrival of the first farming communities in the Iberian Peninsula, around 5600-5500 cal. BCE, to 3600-3500 cal. BCE, two millennia later, when Neolithic communities had stably occupied most of the available territory, from the mountainous areas of the Pyrenees to the coastal areas of the Mediterranean.In this context, the NE of the Iberian Peninsula is one of the areas where a major number of use-wear analyses have been carried out, especially for what concerns the Neolithic period. This is mainly due to the interest shown by the directors of the excavations and by the Spanish use-wear specialists as well; both participated and cooperated in order to enlarge the number of contexts studied, making the NE of the Iberian Peninsula one of the areas of Europe with the largest number of ‘functional studies’. As a result, today we have a reliable picture of the type of lithic tools used by the first farming groups, how they were used, and which needs they were satisfying.The methodology employed for this type of analysis is today broadly shared by most use-wear specialists. A stereoscopic microscope is used together with a reflected-light microscope for the analysis of the archaeological specimens. Afterwards, the observed use-wear traces are compared with the traces from experimental tools. This study primarily made use of the tools preserved at the ‘Traceoteque’ of the Institución Milà y Fontanals of the CSIC of Barcelona.This paper presents the results obtained for the different types of analysed sites and the relative lithic assemblages. In this way, tools from different contexts are compared: open-air sites, caves and rock-shelters, pit-sites, burials, and mining sites. Such a diversity of contexts allowed for the exploration of the existence of recurrences and differences in the functionality of the lithic tools from one site to another. The results obtained have also provided information on some aspects related to the economic processes carried out at the different sites, caves, rock-shelters and open-air contexts. It has been possible to gain fresh data on the types of tasks carried out and their relative importance for each site, their relation with the geographical and environmental context and the natural resources available there. In addition, analysing tools recovered from burials – mainly individual inhumations – provided information on the relationships between the buried individuals and the working tools, in particular exploring the relationships between sex and age patterns and the types of tools deposited as goods.In conclusion, use-wear analysis allowed for the exploration of a variety of issues; from technical aspects related to the production and management of the lithic resources to social aspects related to the subsistence activities and the individuals that carried them out." [O] . Gibaja Bao, Juan Francisco, Mazzucco, Niccolo 2015

机译：：“本文研究了伊比利亚半岛东北部几个新石器时代遗址的片状石材组合的功能。时间框架从公元前6世纪中叶到4世纪中叶，分别对应于早期和早期。新石器时代中期，这段时间的长短是从伊比利亚半岛的第一个农业社区到来，大约在公元前5600-5500 cal，到了两千年后的3600-3500 BCE，当时新石器时代的社区稳定地占据了大部分可用土地。从比利牛斯山脉山区到地中海沿岸地区。在这种情况下，伊比利亚半岛东北部是进行过大量使用磨损分析的地区之一，尤其是在关注方面新石器时代，这主要是由于发掘负责人和西班牙使用服装专家表现出的浓厚兴趣；他们参与和合作以扩大孔蒂的数量xts进行了研究，使伊比利亚半岛的NE成为“功能研究”数量最多的欧洲地区之一。结果，今天我们可以可靠地了解第一批耕作小组使用的石器工具的类型，使用方法以及它们满足的需求。今天，大多数使用方法广泛共享用于这种类型的分析的方法穿专家。立体显微镜与反射光显微镜一起用于分析考古样本。然后，将观察到的使用磨损痕迹与实验工具的痕迹进行比较。这项研究主要利用了巴塞罗那CSIC的米拉·丰塔纳尔研究所的“ Traceoteque”中保存的工具。本文介绍了针对不同类型的分析地点和相对石器组合所获得的结果。通过这种方式，可以比较来自不同环境的工具：露天场所，洞穴和岩石避难所，露天场所，埋葬场所和采矿场所。如此多样的上下文允许探索重复性的存在以及从一个站点到另一个站点的石器工具的功能差异。所获得的结果还提供了与在不同地点，洞穴，避难所和露天环境中进行的经济过程有关的某些方面的信息。可以获得有关所执行任务的类型及其对每个站点的相对重要性，它们与地理和环境环境以及那里可用自然资源的关系的新数据。此外，对从墓葬中回收的工具（主要是个人遗体）进行分析，可提供有关被掩埋的个体与工作工具之间关系的信息，尤其是探索性别与年龄模式之间的关系以及作为商品存放的工具的类型。磨损分析允许探索各种问题；从与石器资源的生产和管理有关的技术方面到与自给活动及其实施者有关的社会方面。”

Educational resource information sharing algorithm based on big data association mining and quasi-linear regression analysis

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