2021 International Conference of Social Computing and Digital Economy (ICSCDE)最新文献_第7页

Lightning Strike Risk Classification of Power Distribution Line Tower Based on Support Vector Machine 基于支持向量机的配电线路塔雷击风险分类

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00052

Yumo Zhang, Yong Deng, Ruke Wu, Lixing Zhou

引用次数: 0

[Title page] (标题页)

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/icscde54196.2021.00001

引用次数: 0

Research on Efficient Distributed Mining Algorithm of Large Scale Graph Data Based on Multi Utility Threshold 基于多效用阈值的大规模图数据高效分布式挖掘算法研究

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00065

Qi Meibin

{"title":"Research on Efficient Distributed Mining Algorithm of Large Scale Graph Data Based on Multi Utility Threshold","authors":"Qi Meibin","doi":"10.1109/ICSCDE54196.2021.00065","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00065","url":null,"abstract":"In graph data mining, setting a single threshold on the data set is easy to cause the loss of rare item sets, resulting in excessive memory consumption of the algorithm. This paper proposes an efficient distributed mining algorithm for large-scale graph data based on multi utility threshold. In the form of undirected label, the frequent item sets of large-scale graph data are constructed, and the graph data item sets are sorted according to the minimum utility average value, and the useless items are deleted. Design a graph data utility list to store the necessary item set information. The pruning strategy is set based on multi utility threshold, and the upper utility limit of transaction is adjusted to reduce the search space. Design the distributed mining algorithm of graph data, traverse the search space, and achieve the balance of computing load. The experimental results show that in the same data set test, the memory peak of the proposed algorithm is lower than FHM algorithm, HAUIM-MMAU algorithm and FP-Storm algorithm. Therefore, the algorithm designed in this paper can reduce the occupation of memory, reduce memory consumption, and has a certain application value.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123951385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Cost Managing Scheme for Power Transmission and Transformation using BIM 基于BIM的输变电造价管理方案

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00010

Nan Xu, Yan Song, Zhenxin Guo, Jing Nie, Xiangliang Sheri, Nianxia Han

引用次数: 0

Accounting digital resource sharing model of small and medium sized enterprises under “cloud +” mode “云+”模式下中小企业会计数字资源共享模式

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00019

Lei Zhang, Xiaoxiao Kong, Renjuan Tan

引用次数: 0

Three-dimensional system structure model of intelligent high-speed railway 智能高速铁路三维系统结构模型

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00081

Jiaying Duan, H. Shen

引用次数: 0

Modeling and Analysis of Translation Ability of Applied English Talents Based on Data Mining Algorithm 基于数据挖掘算法的应用型英语人才翻译能力建模与分析

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00056

Liang Jie

{"title":"Modeling and Analysis of Translation Ability of Applied English Talents Based on Data Mining Algorithm","authors":"Liang Jie","doi":"10.1109/ICSCDE54196.2021.00056","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00056","url":null,"abstract":"In order to improve the security of modeling data of translation ability of applied English talents, a translation ability model of applied English talents based on principal component analysis and big data mining is proposed. A data storage structure feature analysis and integrated processing model for modeling data of applied English talents' translation ability is constructed. A semantic text feature coding control model for modeling data of applied English talents' translation ability is constructed by using distributed integration of semantic ontology and model base and joint control of English talents' translation. This paper constructs the password structure of principal component feature distribution of applied English talents' translation ability modeling data, realizes semantic roughness construction of applied English talents' translation ability modeling data and talents' application ability modeling according to the coding feature distribution of applied English talents' translation ability modeling protocol, and adopts improved BP neural network to realize the construction of applied English talents' translation ability model. The test shows that this method has better data security assessment ability and higher confidence level in modeling the translation ability of applied English talents, and improves the translation ability planning ability of applied English talents.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"13 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Novel Intelligent Teaching Platform Based on Internet+ “SCT” Mode 基于互联网+“SCT”模式的新型智能教学平台

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00013

G. Yan

引用次数: 0

Auditory Tension Classification Algorithm Based on Interval Statistics Approach 基于区间统计方法的听觉张力分类算法

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00024

Haodong Wang

引用次数: 0

Construction and observation of the 3D virtual walnut leaf bud 三维虚拟核桃叶芽的构建与观察

2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00031

Haofan Wu, Nan Wang, H. Lei, Zhaoquan Gao

引用次数: 0