检索结果-内蒙古大学图书馆

4th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2022

作者： Liu, Kaiyu Kan, Yujin Liu, Jinmei Wang, Xuan Jincheng College of Nanjing University of Aeronautics and Astronautics China

ISBN: (纸本)9798350333947

In order to better discover high-quality papers, this paper takes the literature in the field of computer vision as the research object to construct a citation network. Aiming at the problems of unreasonable distribution of document weights and high scores of old documents when using the pagerank algorithm to calculate the importance of papers, this paper improves the pagerank algorithm, considering the publication time, citation time and the impact factor of the publication journal, and proposes a new method. A new weighted pagerank algorithm. The experimental results show that the algorithm can better mine high-impact papers from the citation network. © 2022 IEEE.

关键词： Citation network pagerank algorithm paper influence

来源：评论

学校读者我要写书评

暂无评论

Information credibility evaluation in online professional social network using tree augmented naive Bayes classifier

引用

ELECTRONIC COMMERCE RESEARCH 2021年第2期21卷 645-669页

作者： Jing, Nan Wu, Zhao Lyu, Shanshan Sugumaran, Vijayan Shanghai Univ SHU UTS SILC Business Sch Dept Informat Management Shanghai 201800 Peoples R China Oakland Univ Sch Business Adm Dept Decis & Informat Sci Rochester MI 48309 USA Oakland Univ Ctr Data Sci & Big Data Analyt Rochester MI 48309 USA

In recent years, companies depend on the Internet for posting job advertisements and attracting qualified personnel. However, with the vast number of Internet users and the tremendous amount of information on the Internet, it is difficult to accurately evaluate the credibility of the information that candidates provide on the Internet. Therefore, we propose an approach to assess information credibility in terms of trustworthiness and authority to identify unreliable user profiles in online professional social networks. Our approach calculates the trustworthiness probabilities of user profile information using the Tree Augmented Naive Bayes (TAN) classifier. It also measures the authority of individual users by applying the pagerank algorithm for analyzing the user interactions in the professional social networks. Finally, a group of LinkedIn users' profiles is selected for conducting experiments to validate the proposed approach. Experiments based on a real-world scenario show that our approach integrating the TAN Bayes and pagerank algorithm outperforms other existing approaches in classification accuracy. In addition, the approach has been applied to another social network, namely, Maimai in China to further demonstrate its usefulness.

关键词： Professional social networks Information credibility Trustworthiness probability Tree augmented naive Bayes classifier pagerank algorithm

来源：评论

学校读者我要写书评

暂无评论

Analysis of pollutants transport in heavy air pollution processes using a new complex-network-based model

引用

ATMOSPHERIC ENVIRONMENT 2023年 292卷

作者： Chen, Mei Chen, Yongxu Zhu, Hongyu Wang, Youshuai Xie, Yue Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou 730070 Peoples R China

A transport analysis model of air pollutants based on complex networks is proposed to study the spatiotemporal variation characteristics of air pollution during heavy air pollution processes and further analyze the contribution and interrelationship of air pollution of different cities. To construct the transmission network for each heavy air pollution process, a link is established between two cities according to the correlation coefficient of pollutants, the angle between the direction of cities and the wind direction, and its weight is assigned by integrating the factors of pollution, meteorology and geography. Then the pagerank algorithm is improved to identify the main contribution areas, and the label propagation algorithm is improved to find the associated air pollution areas. Finally, the period from January 1, 2014 to February 28, 2021 in Beijing-Tianjin-Hebei (BTH) region are used to demonstrate the performance of this model. The results show that a total of 58 heavy air pollution processes occur during the study period, the shortest lasting 3 days and the longest 13 days. These pollution processes occur mainly in winter, especially in January, and there are sufficient data to show that pollution levels decline year on year. Long-term correlation analysis for single-pollutant between different cities shows that geography is one of the most important factors affecting the regional transport of air pollutants. Moreover, according to the statistical analysis of each heavy pollution process, Tangshan, Tianjin and Langfang are the main contribution areas in the pollutant regional transport. In addition, apart from that in Zhangjiakou, Chengde and Qinhuangdao, the pollutants in the other cities in the BTH region have an effect on one another so that these cities are formed as an associated contaminated area. This study can provide better insights into local control and joint prevention of atmospheric pollution.

关键词： Transport analysis model Air pollution transmission network Heavy air pollution process pagerank algorithm Label propagation algorithm Air pollutants

来源：评论

学校读者我要写书评

暂无评论

Non-Centralised Balance Dispatch Strategy in Waked Wind Farms through a Graph Sparsification Partitioning Approach

引用

ENERGIES 2023年第20期16卷 7131页

作者： Shu, Tong Joo, Young Hoon Jiujiang Univ Sch Elect & Informat Engn Jiujiang 332005 Peoples R China Kunsan Natl Univ Sch IT Informat & Control Engn Kunsan 54150 South Korea

A novel non-centralised dispatch strategy is presented for wake redirection to optimise large-scale offshore wind farms operation, creating a balanced control between power production and fatigue thrust loads evenly among the wind turbines. This approach is founded on a graph sparsification partitioning strategy that takes into account the impact of wake propagation. More specifically, the breadth-first search algorithm is employed to identify the subgraph based on the connectivity of the wake direction graph, while the pagerank centrality computation algorithm is utilised to determine and rank scores for the shared turbines' affiliation with the subgraphs. By doing so, the wind farm is divided into smaller subsets of partitioned turbines, resulting in decoupling. The objective function is then formulated by incorporating penalty terms, specifically the standard deviation of fatigue thrust loads, into the maximum power equation. Meanwhile, the non-centralisation sequential quadratic programming optimisation algorithm is subsequently employed within each partition to determine the control actions while considering the objectives of the respective controllers. Finally, the simulation results of case studies prove to reduce computational costs and improve wind farm power production by balancing accumulated fatigue thrust loads over the operational lifetime as much as possible.

关键词： non-centralisation optimisation offshore wind farm load-balancing pagerank algorithm graph sparsification partitioning

来源：评论

学校读者我要写书评

暂无评论

Disease-Pathway Association Prediction Based on Random Walks With Restart and pagerank

引用

IEEE ACCESS 2020年 8卷 72021-72038页

作者： Ghulam, Ali Lei, Xiujuan Guo, Min Bian, Chen Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China

The study of disease-pathway association in human diseases is a perennial focus of the biomedical field. The association of diseases and pathways can help in the discovery of the mechanisms or relationships of human diseases. The accuracy of disease identification has been less than satisfactory despite decades of research in this area. Therefore, this study proposes a computational model for the prediction of disease-pathway associations. The proposed computational model is based on Random Walk with Restart on heterogeneous network (RWRH) and pagerank. The RWRH disease-pathway association model is a novel computational model that can predict potential disease-pathway associations. Furthermore, the model can help pathologists understand the correlations among disease-pathway associations, treatments, and reactions. We performed a pathway-based study to expand disease variation relationships and to find new molecular correlations between genetic mutations. We constructed a biological network on the basis of shared gene interactions of disease-pathways and attempted to investigate the pathogenesis of a disease by analyzing the constructed network. The network construction was based on two parts. First, the similarity between pathway-pathway networks was calculated. Second, a disease-disease (DD) similarity network was constructed, and the correlation between disease and disease similarity was calculated. We also investigated the pathway seed node and disease seed node with high pagerank. Moreover, we focused on mining the complexity of disease-pathway associations. We used the bipartite network of disease-pathway associations to combine the obtained biological information, which was based on the pair similarity of sequence expression weights. These weights, which were obtained by using the multilayer resource-allocation algorithm, were used to calculate the prediction scores of each disease-pathway pair. Here, through leave-one-out cross-validation, we examined a 210

关键词： Pathway similarity network disease similarity network disease pathway association pagerank algorithm

来源：评论

学校读者我要写书评

暂无评论

Multi-document Arabic Text Summarization based on Thematic Annotation 16

Multi-document Arabic Text Summarization based on Thematic A...

引用

16th International Conference on Software Technologies (ICSOFT)

作者： Merniz, Amina Chaibi, Anja Habacha Ben Ghezala, Henda Univ Manouba Natl Sch Comp Sci Manouba Tunisia

ISBN: (纸本)9789897585234

Reduce document(s) by keeping keys and significant sentences from a set of data is called text summarization. It has been around for a long time in natural language processing research, it is improving over the years due to a considerable number of methods and research in this area. The paper suggests Arabic multi-document text summarization. The originality of the approach is that the summary based on thematic annotation such as input documents are analyzed and segmented using LDA. Then segments of each topic are represented by a separate graph because of the redundancy problem in multi-document summarization. In the last step, the proposed approach applies a modified pagerank algorithm that utilizes cosine similarity measure as a weight between edges. Vertices that have high scores are essential. Therefore, they construct the final summary. To evaluate summary systems, researchers develop serval metrics divided into three categories, namely: automatic, semiautomatic and manual. This study research chooses automatic evaluation methods for text summarization, mainly Rouge measure (Rouge-1, Rouge-2, Rouge-L, and Rouge-SU4).

关键词： Text Summarization Multi-document Summarization pagerank algorithm Thematic Annotation

来源：评论

学校读者我要写书评

暂无评论

Importance Analysis of System Related Fault Based on Improved Decision-Making Trial and Evaluation Laboratory

引用

MEASUREMENT SCIENCE REVIEW 2022年第5期22卷 214-224页

作者： Xu, Yandong Shen, Guixiang Jilin Univ Key Lab Reliabil CNC Equipment Minist Educ Changchun 130022 Jilin Peoples R China Jilin Univ Sch Mech & Aerosp Engn Changchun 130022 Jilin Peoples R China

The existence of related faults between components brings great difficulties to the analysis of the importance of system components. How to quantify the influence of related faults and evaluate the importance of components is one of the hot issues in current research. In this paper, under the assumption that the fault propagation obeys the Markov process, the pagerank algorithm is integrated into the decision-making trial and evaluation laboratory (DEMATEL). On the basis, the calculation of influencing degree and influenced degree between components is studied to quantify the influence of related faults, and the problem of subjective evaluation of weight coefficient in traditional DEMATEL is solved. The rationality is verified through the method of combining the Interpretative Structural Modeling Method (ISM) and direct relation matrix. The importance of system related faults is identified accurately based on the calculation of center degree and cause degree, and the central-related faults of CNC machine tools are analyzed as an example to verify the effectiveness of the proposed method.

关键词： Decision-Making trial and Evaluation Laboratory (DEMATEL) importance Interpretative Structural Modeling Method (ISM) pagerank algorithm

来源：评论

学校读者我要写书评

暂无评论

Method for Essential Protein Prediction Based on the Naïve Bayesian Classifier and Bioinformation Fusion 22

Method for Essential Protein Prediction Based on the Naïve ...

引用

Proceedings of the 2022 11th International Conference on Bioinformatics and Biomedical Science

作者： Jing Tan Linai Kuang Lei Wang School of Computer Science & School of Cyberspace Science Xiangtan University China

ISBN: (纸本)9781450396929

In this article, a novel approach called EPNBC has been proposed by combining the biological information with the naïve Bayesian classifier and pagerank algorithm to predict potential essential proteins. In EPNBC, the naïve Bayesian classifier is used to process the original PPI network, and a new protein interaction network with more interaction relationships is obtained. Then, two similarity matrices were obtained by using Gaussian interaction profile kernel similarity based on the protein interaction relationship and gene expression data, and a weighted protein interaction network was obtained. The improved pagerank algorithm was used to score the nodes in the network and output the protein scores in descending order. Experimental results showed that EPNBC was superior to dozens of other methods in identifying essential proteins.

关键词： heterogeneous network naïve Bayesian classifier pagerank algorithm essential protein prediction

来源：评论

学校读者我要写书评

暂无评论

Methods for prioritizing protected areas using individual and aggregate rankings

引用

ENVIRONMENTAL CONSERVATION 2020年第2期47卷 113-122页

作者： Carvalho, Fabio Brown, Kerry A. Gordon, Adam D. Yesuf, Gabriel U. Raherilalao, Marie Jeanne Raselimanana, Achille P. Soarimalala, Voahangy Goodman, Steven M. Univ Lancaster Lancaster Environm Ctr Lancaster LA1 4YQ England Kingston Univ London Dept Geog Geol & Environm Penrhyn Rd Kingston Upon Thames KT1 2EE Surrey England SUNY Albany Dept Anthropol 1400 Washington Ave Albany NY 12222 USA Assoc Vahatra BP 3972 Antananarivo 101 Madagascar Univ Antananarivo Fac Sci Zool & Biodiversite Anim BP 906 Antananarivo 101 Madagascar Univ Fianarantsoa Inst Sci & Tech Environm BP 1264 Fianarantsoa 301 Madagascar Field Museum Nat Hist 1400 South Lake Shore Dr Chicago IL 60605 USA

Despite their legal protection status, protected areas (PAs) can benefit from priority ranks when ongoing threats to their biodiversity and habitats outpace the financial resources available for their conservation. It is essential to develop methods to prioritize PAs that are not computationally demanding in order to suit stakeholders in developing countries where technical and financial resources are limited. We used expert knowledge-derived biodiversity measures to generate individual and aggregate priority ranks of 98 mostly terrestrial PAs on Madagascar. The five variables used were state of knowledge (SoK), forest loss, forest loss acceleration, PA size and relative species diversity, estimated by using standardized residuals from negative binomial models of SoK regressed onto species diversity. We compared our aggregate ranks generated using unweighted averages and principal component analysis (PCA) applied to each individual variable with those generated via Markov chain (MC) and pagerank algorithms. SoK significantly affected the measure of species diversity and highlighted areas where more research effort was needed. The unweighted- and PCA-derived ranks were strongly correlated, as were the MC and pagerank ranks. However, the former two were weakly correlated with the latter two. We recommend using these methods simultaneously in order to provide decision-makers with the flexibility to prioritize those PAs in need of additional research and conservation efforts.

关键词： conservation triage expert knowledge forest loss acceleration Madagascar Markov chain algorithm pagerank algorithm

来源：评论

学校读者我要写书评

暂无评论

Identifying the spatial distribution of public transportation trips by node and community characteristics

引用

TRANSPORTATION PLANNING AND TECHNOLOGY 2020年第3期43卷 325-340页

作者： Li, Jun Zheng, Peiqing Zhang, Wenna Sun Yat Sen Univ Sch Intelligent Syst Engn Guangdong Prov Key Lab Intelligent Transportat Sy Guangzhou 510006 Guangdong Peoples R China

Identifying the spatial distribution of travel activities can help public transportation managers optimize the allocation of resources. In this paper, transit networks are constructed based on traffic flow data rather than network topologies. The pagerank algorithm and community detection method are combined to identify the spatial distribution of public transportation trips. The structural centrality and pagerank values are compared to identify hub stations;the community detection method is applied to reveal the community structures. A case study in Guangzhou, China is presented. It is found that the bus network has a community structure, significant weekday commuting and small-world characteristics. The metro network is tightly connected, highly loaded, and has no obvious community structure. Hub stations show distinct differences in terms of volume and weekend/weekday usage. The results imply that the proposed method can be used to identify the spatial distribution of urban public transportation and provide a new study perspective.

关键词： Public transportation spatial distribution smart card data transit network pagerank algorithm community detection case study

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：