Proceedings of the International Conference on Applied Statistics最新文献

Budgetary efficiency expressed as the interdependence of public expenditures and the Gross Domestic Product in the Republic of Moldova 预算效率表示为摩尔多瓦共和国公共支出与国内生产总值的相互依存关系

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0018

I. Pârţachi, Simion Mija

引用次数: 0

Churn prepaid customers classified by HyperOpt techniques 流失通过HyperOpt技术分类的预付费客户

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0010

Andreea Dumitrache, D. Melian, Delia Bălăcian, Alexandra Nastu, Stelian Stancu

{"title":"Churn prepaid customers classified by HyperOpt techniques","authors":"Andreea Dumitrache, D. Melian, Delia Bălăcian, Alexandra Nastu, Stelian Stancu","doi":"10.2478/icas-2021-0010","DOIUrl":"https://doi.org/10.2478/icas-2021-0010","url":null,"abstract":"Abstract The telecommunications industry is representative when it comes to a country’s economy. In this industry, the customer plays a very important role in maintaining a stable income. The churn customer is one of the most important concerns for large companies. This increased attention is due to its direct effect on the revenues of large companies in the telecommunications industry, companies being in a constant search to develop ways to predict this type of customer. The aim of our paper is to identify potential customers at risk of churn using modern data mining techniques, often used in the business world. From the nine techniques tested, we choose as the churn prediction model, the technique with the highest performance. The effectiveness of the model is tested and evaluated by the f1-score. The model developed in the paper uses machine learning techniques on the Python platform, exploring a wide range of algorithms from logistic regression and the method of balancing the analyzed data set (Balanced Random Forest) to supervised learning methods (K-Nearest Neighbors, Naive Bayes) and optimization packages (Ligh GBM, CATBoost, ADABoost, RUSBoost, Stochastic Gradient Descent). The techniques analyzed in this paper cover a diverse range of methods that are compared in terms of performance. RUSBoost proves to be the best churn prediction model for telecom customers in this study. RUSBoost has the lowest loss function of all the tested techniques.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132414238","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: 3

Spatial changes in entrepreneurship in relation to economic crisis and recovery. Insights from Romanian counties 与经济危机和复苏相关的创业空间变化。罗马尼亚各县的启示

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0012

Zizi Goschin, Elena Druică

引用次数: 2

Labor force shortage analysis in Romania - size, impact and measures 罗马尼亚劳动力短缺分析——规模、影响和措施

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0025

Valentina Vasile, C. Boboc, S. Ghita, I. Băncescu, A. Saseanu

引用次数: 0

Romania’s tourism industry in free fall 罗马尼亚的旅游业一落千丈

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0001

Constantin Anghelache, M. Anghel, Ș. Iacob, S. Dumbrava

{"title":"Romania’s tourism industry in free fall","authors":"Constantin Anghelache, M. Anghel, Ș. Iacob, S. Dumbrava","doi":"10.2478/icas-2021-0001","DOIUrl":"https://doi.org/10.2478/icas-2021-0001","url":null,"abstract":"Abstract Tourism is one of the consistent branches of the national economy, which can ensure some concrete results and a tailor-made contribution to the formation of the Gross Domestic Product. The tourism industry is also called invisible trade in the sense that, although it does not export goods and services, by practicing it, by developing it, it ensures consistent revenues to the state budget, but also ensures the possibility of increasing Gross Domestic Product. Analysing the current situation of the health and economic-financial crisis, it is found that in 2020 HoReCa, the tourism industry, complementary services have decreased alarmingly. Against this background, tourism has reduced its contribution to the formation of the Gross Domestic Product, which can lead to an even greater decrease. Investments in tourism are eroding. There is no possibility of refinancing despite support measures provided by the authorities. We say in spite of some measures granted because the postponement of some payments, the postponement of some credits, the transition to technical unemployment and others will be coupled later with other measures with almost devastating effect for the Romanian economy. Thus, many jobs will be lost. On the other hand, tourism companies will not be able to move from technical unemployment to normal activity and give a minimum of six months to those in this situation. The tourist market practically does not exist because there are only sequential possibilities in which it takes place, but especially under the rule of business activities, which are also considered tourist activities. The tourist activity materialized through arrivals, overnight stays, arrivals and departures has decreased steadily and this result mainly from the data subject to the study we mentioned. It is necessary to interpret these data and possibly find ways to recover.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124838753","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

Using discriminant analysis to study the discrinimation issue of refugees and migrants from MENA region in European countries 运用判别分析方法研究欧洲国家对中东和北非地区难民和移民的歧视问题

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0017

Amira Kobeissi, Ali Sadig Mohammed Bager, Hiba Mohammad

{"title":"Using discriminant analysis to study the discrinimation issue of refugees and migrants from MENA region in European countries","authors":"Amira Kobeissi, Ali Sadig Mohammed Bager, Hiba Mohammad","doi":"10.2478/icas-2021-0017","DOIUrl":"https://doi.org/10.2478/icas-2021-0017","url":null,"abstract":"\u0000 In the last years and after the arrival of a significant number of migrants, asylum seekers, and refugees. Foreigners from MENA region started facing numerous issues in the host countries. One of the major issues that the refugees and migrants are facing now adays is discrimination. As most of the studies exposes that this topic is recently debatable among the European governments. Likewise, the literature review on this matter shows that most of the European countries who welcomed refugees in large numbers were more able to understand and keep away factors that drive to discrimination. It is well known that are many factors that lead to discrimination such as the difference in nationalities, religion, and gender. Although there are different places where the migrants and refugees can feel discriminated for instance: public authorities, workplace, schools, and universities. Moving on to the methodology used in this paper is the quantitative method, we conducted an online survey distributed on refugees and youth migrants in both languages (English and Arabic) that are living in European countries. We tried in our survey to ask questions related to discrimination, in order to understand how they are dealing with this issue and to what extent is discrimination affecting them. For that reason, we used the discriminant analysis. the discriminant analysis feature is split into a 2-step process firstly is testing significance of a series of functions that most affect the migrations as the results of the discriminant analysis had shown us that the number of years lived in Europe was directly affected by discrimination, in addition to the classification. As using the discriminant analysis was an efficient way to study the main factors affected by discrimination.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121642539","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

Labor force shortage analysis in Romania - size, impact and measures 罗马尼亚劳动力短缺分析——规模、影响和措施

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0021

Valentina Vasile, C. Boboc, S. Ghita, I. Băncescu, A. Saseanu

引用次数: 1

Combining Regression and Clustering for Financial Analysis 结合回归与聚类的财务分析

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0007

Andreea Ioana Chiriac

{"title":"Combining Regression and Clustering for Financial Analysis","authors":"Andreea Ioana Chiriac","doi":"10.2478/icas-2021-0007","DOIUrl":"https://doi.org/10.2478/icas-2021-0007","url":null,"abstract":"Abstract Artificial Intelligence is used in business through machine learning algorithms. Machine learning is a part of computer science focused on computer systems learning to perform a specific task without using explicit instructions, relying on patterns and inference instead. Though it might seem like we’ve come a long way in the last ten years, which is true from a research perspective, the adoption of AI among corporations is still relatively low. Over time it became possible to automate more tasks and business processes than ever before. The benefit of using artificial intelligence is that does not require to program every step of the process, predicting at each step what could happen and how to resolve it. The algorithms decide for themselves in each case how the problems should be solved, based on the data that is used. I apply Python language to create a synthetic feature vector that allows visualizations in two dimensions for EDIBTA financial ratio. I use Mean-Square Error in order to evaluate the success, having the optimal parameters. In this section, I also mentioned about the purpose, goals, and applications of cluster analysis. I indicated about the basics of cluster analysis and how to do it and also did a demonstration on how to use K-Means.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126051291","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

Global Tendency of Silver Population Benefits 全球银发人口福利趋势

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0009

M. Cazacu, E. Țițan

{"title":"Global Tendency of Silver Population Benefits","authors":"M. Cazacu, E. Țițan","doi":"10.2478/icas-2021-0009","DOIUrl":"https://doi.org/10.2478/icas-2021-0009","url":null,"abstract":"\u0000 Global demographic trends for the most recent years shows an ageing population, concentrated mainly in Europe and Asia in countries like Italy, China and Japan. This can be seen as an issue in the future, considering the social protection system that should adapt, or as a big opportunity in keeping elders active. In both cases, the importance of social policies and the modernization of social protection system has become crucial in the world. In order to avoid major economic issues or social tensions, as a first step it is required to identify main areas with big impact for ageing population and consider benefits for them. The purpose of this research is to investigate the opportunities raised for the ageing population in the context of quality of life, based on the nine dimensions proposed by Eurostat in the publication Quality of life indicators and show that silver (population) is the new gold for society. As a preliminary research, ageing will impact mainly material living conditions, health, leisure and social interactions and also the overall experience of life. For instance, in medicine there will be a challenge to switch from traditional medical checks to tele-medicine based on gadgets that monitor health or can assist persons in their daily life and fight with illness.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121046554","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

Assessing the entrepreneurial intention in Romania. An approach based on a binomial logistic regression 评估罗马尼亚的创业意向。一种基于二项逻辑回归的方法

Proceedings of the International Conference on Applied Statistics Pub Date : 2020-12-01 DOI: 10.2478/icas-2021-0005

Denisa Elena Bălă, Stelian Stancu, Dragoş Bălă

{"title":"Assessing the entrepreneurial intention in Romania. An approach based on a binomial logistic regression","authors":"Denisa Elena Bălă, Stelian Stancu, Dragoş Bălă","doi":"10.2478/icas-2021-0005","DOIUrl":"https://doi.org/10.2478/icas-2021-0005","url":null,"abstract":"Abstract Entrepreneurship is an increasingly popular activity, spread worldwide. Every year, thousands of individuals choose to start their own business, some of them beginning from college, others after years of experience and activity in other companies, as simple employees. In Romania, entrepreneurial activity is a practice of great interest in society during the last years. But what could be the reasons behind the entrepreneurial intention and decision in Romania? We intend to answer this question using as a starting point the database provided by the Global Entrepreneurship Monitor, from which a series of variables considered relevant in line with other studies on this topic will be selected. We will therefore identify what determines Romanians to choose the path of entrepreneurship, but also to what extent. The methodology applied in this paper is the binomial logistic regression. Using this technique, four regression models will be estimated, based on them concluding which are the explanatory factors of the entrepreneurial intent in Romania. The results will show that in Romania some significant factors to explain the preference for entrepreneurship are individuals’ confidence in their own abilities, fear of failure, knowledge of other entrepreneurs, but also occupational status. These records will prove to be in line with the results obtained at the level of other states. However, it will be shown that unlike other nations and societies, in Romania there are no significant differences regarding the entrepreneurial decision in terms of age or gender.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113949925","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