The article discusses the evaluation of automatic keyword extraction algorithms (AKEA) and points out AKEA’s dependence on the properties of the test collection for effectiveness. As a result, it is difficult to compare different algorithms who’s tests were based on various test datasets. It is also difficult to predict the effectiveness of different systems for solving real-world problems of natural language processing (NLP). We take in to consideration a number of characteristics, such as the text length distribution in words and the method of keyword assignment. Our analysis of publicly available analytical exposition text which is typical for the keywords extraction domain revealed that their length distributions are very regular and described by the lognormal form. Moreover, most of the article lengths range between 400 and 2500 words. Additionally, the paper presents a brief review of eleven corpora that have been used to evaluate AKEA’s.
{"title":"Analysis of Text Collections for the Purposes of Keyword Extraction Task","authors":"Alexander S. Vanyushkin, Leonid Graschenko","doi":"10.31341/jios.44.1.8","DOIUrl":"https://doi.org/10.31341/jios.44.1.8","url":null,"abstract":"The article discusses the evaluation of automatic keyword extraction algorithms (AKEA) and points out AKEA’s dependence on the properties of the test collection for effectiveness. As a result, it is difficult to compare different algorithms who’s tests were based on various test datasets. It is also difficult to predict the effectiveness of different systems for solving real-world problems of natural language processing (NLP). We take in to consideration a number of characteristics, such as the text length distribution in words and the method of keyword assignment. Our analysis of publicly available analytical exposition text which is typical for the keywords extraction domain revealed that their length distributions are very regular and described by the lognormal form. Moreover, most of the article lengths range between 400 and 2500 words. Additionally, the paper presents a brief review of eleven corpora that have been used to evaluate AKEA’s.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"44 1","pages":"171-184"},"PeriodicalIF":0.6,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43002530","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}
The proposed research work is an effort to provide accurate movie recommendations to a group of users with the help of a rule-based content-based group recommender system. The whole approach is categorized into 2 phases. In phase 1, a rule- based approach has been proposed which considers the users’ viewing history to provide the Rule Base for every individual user. In phase 2, a novel group recommendation system has been proposed which considers the ratings of the movies as per the rule base generated in phase 1. Phase 2 also considers the weightage of every individual member of the group to provide the accurate movie recommendation to that particular group of users. The results of experimental setup also establish the fact that the proposed system provides more accurate outcomes in terms of precision and recall over other rule learning algorithms such as C4.5.
{"title":"A Novel Rule based Data Mining Approach towards Movie Recommender System","authors":"Mugdha Sharma, Laxmi Ahuja, Vinay Kumar","doi":"10.31341/jios.44.1.7","DOIUrl":"https://doi.org/10.31341/jios.44.1.7","url":null,"abstract":"The proposed research work is an effort to provide accurate movie recommendations to a group of users with the help of a rule-based content-based group recommender system. The whole approach is categorized into 2 phases. In phase 1, a rule- based approach has been proposed which considers the users’ viewing history to provide the Rule Base for every individual user. In phase 2, a novel group recommendation system has been proposed which considers the ratings of the movies as per the rule base generated in phase 1. Phase 2 also considers the weightage of every individual member of the group to provide the accurate movie recommendation to that particular group of users. The results of experimental setup also establish the fact that the proposed system provides more accurate outcomes in terms of precision and recall over other rule learning algorithms such as C4.5.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/jios.44.1.7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45217855","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}
Hrvoje Karna, S. Gotovac, L. Vicković, Luka Mihanović
Turnover of the personnel represents a serious issue for management of software projects. The buildup of competences and phasing in of the people into the project requires both time and effort. This paper presents a case study of a large in-house agile software development project. The research goal was to determine the effects that turnover has on the expert effort estimation. In order to do this, paper examines relations across empirical data on a studied project. Study findings are the following: a) it is necessary to distinguish types of turnover, b) the general and planned turnover do not necessarily have a negative effect on estimation accuracy, and c) the unplanned turnover can have a significant negative impact on the reliability of the estimates and therefore should be treated with special attention. Results suggest that these facts should be taken into account both by the management and human resources.
{"title":"The Effects of Turnover on Expert Effort Estimation","authors":"Hrvoje Karna, S. Gotovac, L. Vicković, Luka Mihanović","doi":"10.31341/JIOS.44.1.3","DOIUrl":"https://doi.org/10.31341/JIOS.44.1.3","url":null,"abstract":"Turnover of the personnel represents a serious issue for management of software projects. The buildup of competences and phasing in of the people into the project requires both time and effort. This paper presents a case study of a large in-house agile software development project. The research goal was to determine the effects that turnover has on the expert effort estimation. In order to do this, paper examines relations across empirical data on a studied project. Study findings are the following: a) it is necessary to distinguish types of turnover, b) the general and planned turnover do not necessarily have a negative effect on estimation accuracy, and c) the unplanned turnover can have a significant negative impact on the reliability of the estimates and therefore should be treated with special attention. Results suggest that these facts should be taken into account both by the management and human resources.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"44 1","pages":"51-81"},"PeriodicalIF":0.6,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.44.1.3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48831584","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}
Purpose of the article. Scientific research implies that current tectonic shifts, taking place in the external environment, have been reforming the consumer market. In the context of these tendencies, the knowledge seeded in consumer’s consciousness keeps fluctuating in the direction hard to identify. The article investigates the problem of how the dynamicity of consumer knowledge manifests itself. Scientific aim: The present paper aims at suggesting guidelines for constructing an open structure of consumer knowledge. Findings. In grounding the object of the current article, theoretical investigation has been carried out to reveal that consumer knowledge dynamicity is the change of product-related information and subjective experiences, stored in consumer’s long-term memory and allowing the consumer to make purchasing decisions. It manifests through certain structural parts of knowledge, open to the external environment change and interrelated, dealing with product terminology and attributes, with the evaluation of those attributes and the ways of usage as well as facts about the brand. Those structural parts are influenced by marketing activities of an organization, by macro-environment factors, by consumer characteristics, and by changes in purchasing decision making. The present article introduces the case of Lithuanian beauty and personal care mass
{"title":"Forming an Open Structure of Consumer Knowledge","authors":"Vestina Vainauskienė, Rimgailė Vaitkienė","doi":"10.31341/jios.43.2.6","DOIUrl":"https://doi.org/10.31341/jios.43.2.6","url":null,"abstract":"Purpose of the article. Scientific research implies that current tectonic shifts, taking place in the external environment, have been reforming the consumer market. In the context of these tendencies, the knowledge seeded in consumer’s consciousness keeps fluctuating in the direction hard to identify. The article investigates the problem of how the dynamicity of consumer knowledge manifests itself. Scientific aim: The present paper aims at suggesting guidelines for constructing an open structure of consumer knowledge. Findings. In grounding the object of the current article, theoretical investigation has been carried out to reveal that consumer knowledge dynamicity is the change of product-related information and subjective experiences, stored in consumer’s long-term memory and allowing the consumer to make purchasing decisions. It manifests through certain structural parts of knowledge, open to the external environment change and interrelated, dealing with product terminology and attributes, with the evaluation of those attributes and the ways of usage as well as facts about the brand. Those structural parts are influenced by marketing activities of an organization, by macro-environment factors, by consumer characteristics, and by changes in purchasing decision making. The present article introduces the case of Lithuanian beauty and personal care mass","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"43 1","pages":"229-250"},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44766467","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}
The issue of information systems security, and thus information as key resource in today's information society, is something that all organizations in all sectors face in one way or another. To ensure that information remain secure, many organizations have implemented a continuous, structured and systematic security approach to manage and protect an organization's information from undermining individuals by establishing security policies, processes, procedures, and information security organizational structures. However, despite this, security threats, incidents, vulnerabilities and risks are still raging in many organizations. One of the main causes of this problem is poor understanding of information systems security key success factors. Identifying and understanding of information security key success factors can help organizations to manage how to focus limited resources on those elements that really impact on success, therefore saving time and money and creating added value and further enabling operational business. This research, based on comprehensive literature review, summarizes most cited key success factors of information systems security identified in scientific articles indexed in relevant databases, of which the top three success factors were management support, information security policy and information security education, training and awareness. At the end, article states identified research gaps and provides readers with possible directions for further researches.
{"title":"Key Success Factors of Information Systems Security","authors":"K. Arbanas, Nikolina Žajdela Hrustek","doi":"10.31341/jios.43.2.1","DOIUrl":"https://doi.org/10.31341/jios.43.2.1","url":null,"abstract":"The issue of information systems security, and thus information as key resource in today's information society, is something that all organizations in all sectors face in one way or another. To ensure that information remain secure, many organizations have implemented a continuous, structured and systematic security approach to manage and protect an organization's information from undermining individuals by establishing security policies, processes, procedures, and information security organizational structures. However, despite this, security threats, incidents, vulnerabilities and risks are still raging in many organizations. One of the main causes of this problem is poor understanding of information systems security key success factors. Identifying and understanding of information security key success factors can help organizations to manage how to focus limited resources on those elements that really impact on success, therefore saving time and money and creating added value and further enabling operational business. This research, based on comprehensive literature review, summarizes most cited key success factors of information systems security identified in scientific articles indexed in relevant databases, of which the top three success factors were management support, information security policy and information security education, training and awareness. At the end, article states identified research gaps and provides readers with possible directions for further researches.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"43 1","pages":"131-144"},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/jios.43.2.1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42997737","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}
Syntax-Driven Development of Oberon-0 Using YAJCo Sergej Chodarev sergej.chodarev@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Michaela Bačíková michaela.bacikova@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Abstract YAJCo is a tool for the development of software languages based on an annotated language model. The model is represented by Java classes with annotations defining their mapping to concrete syntax. This approach to language definition enables the abstract syntax to be the central point of the development process, instead of concrete syntax. In this paper, a case study of Oberon-0 programming language development is presented. The study is based on the LTDA Tool Challenge and showcases details of abstract and concrete syntax definition using YAJCo, as well as the implementation of name resolution, type checking, model transformation, and code generation. The language was implemented in a modular fashion to demonstrate language extension mechanisms supported by YAJCo.
使用YAJCo语法驱动的Oberon-0开发Sergej Chodarev sergej.chodarev@tuke.sk斯洛伐克电子工程与信息技术大学计算机与信息系Košice, Košice Michaela Bačíková michaela.bacikova@tuke.sk斯洛伐克电子工程与信息技术大学计算机与信息系Košice, KošiceYAJCo是一种基于注释语言模型的软件语言开发工具。该模型由带有注释的Java类表示，这些注释定义了它们到具体语法的映射。这种语言定义方法使抽象语法成为开发过程的中心点，而不是具体语法。本文以Oberon-0编程语言开发为例进行了研究。该研究基于LTDA工具挑战，并展示了使用YAJCo的抽象和具体语法定义的细节，以及名称解析、类型检查、模型转换和代码生成的实现。该语言以模块化的方式实现，以演示YAJCo支持的语言扩展机制。
{"title":"Abstract-Syntax-Driven Development of Oberon-0 Using YAJCo","authors":"Sergej Chodarev, M. Bačíková","doi":"10.31341/jios.43.2.2","DOIUrl":"https://doi.org/10.31341/jios.43.2.2","url":null,"abstract":"Syntax-Driven Development of Oberon-0 Using YAJCo Sergej Chodarev sergej.chodarev@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Michaela Bačíková michaela.bacikova@tuke.sk Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice, Košice, Slovakia Abstract YAJCo is a tool for the development of software languages based on an annotated language model. The model is represented by Java classes with annotations defining their mapping to concrete syntax. This approach to language definition enables the abstract syntax to be the central point of the development process, instead of concrete syntax. In this paper, a case study of Oberon-0 programming language development is presented. The study is based on the LTDA Tool Challenge and showcases details of abstract and concrete syntax definition using YAJCo, as well as the implementation of name resolution, type checking, model transformation, and code generation. The language was implemented in a modular fashion to demonstrate language extension mechanisms supported by YAJCo.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"43 1","pages":"145-162"},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47234165","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}
The purpose of this paper is to analyse whether the extent and quality of voluntarily disclosed information regarding intellectual capital (IC) are correlated with certain characteristics of a company. IC is very important for IT companies. Therefore, financial and non-financial statements of 32 high-tech companies were investigated using the content analysis method. To test the influence of firm characteristics on the intellectual capital disclosure index (ICDI), the regression model was used. The size of the firm was the only independent variable that has had a statistically significant influence on the ICDI. The auditor type, as well as financial ratios, have not shown a statistically significant influence on the extent and quality of IC disclosures. This study reflects the state regarding the voluntary IC disclosures in Croatia and therefore the study may be a roadmap for further research and, more importantly, might promote awareness of the importance of transparent reporting.
{"title":"The Role of Firm Characteristics in Voluntary Disclosure of IC Information and Its Importance for High-Tech Companies","authors":"A. Rep, K. Žager, Cidália Oliveira","doi":"10.31341/jios.43.2.4","DOIUrl":"https://doi.org/10.31341/jios.43.2.4","url":null,"abstract":"The purpose of this paper is to analyse whether the extent and quality of voluntarily disclosed information regarding intellectual capital (IC) are correlated with certain characteristics of a company. IC is very important for IT companies. Therefore, financial and non-financial statements of 32 high-tech companies were investigated using the content analysis method. To test the influence of firm characteristics on the intellectual capital disclosure index (ICDI), the regression model was used. The size of the firm was the only independent variable that has had a statistically significant influence on the ICDI. The auditor type, as well as financial ratios, have not shown a statistically significant influence on the extent and quality of IC disclosures. This study reflects the state regarding the voluntary IC disclosures in Croatia and therefore the study may be a roadmap for further research and, more importantly, might promote awareness of the importance of transparent reporting.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"43 1","pages":"185-209"},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/jios.43.2.4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46336557","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}
This work is focused on the issue of job scheduling in a high performance computing systems. The goal is based on the analysis of scheduling models of tasks in grid and cloud, design and implementation of the simulator on the base of GPGPU. The simulator is verified by our own proposed model of job scheduling. The simulator consists of a centralized scheduler that is using GPGPU to process large amounts of data by parallel way. In order to ensure the optimization of the scheduling process we have implemented a simulated annealing algorithm. GPGPU model was compared to the CPU when the number of nodes from 32 to 2048. Improving the implementation based on GPGPU had a significant impact on the system with 512 nodes and with an increasing number of nodes further accelerates in comparison with sequential algorithm. In this work are designed new scheduling criteria which are experimentally evaluated.
{"title":"Parallel Simulation of Tasks Scheduling and Scheduling Criteria in High-performance Computing Systems","authors":"J. Škrinárová, M. Povinský","doi":"10.31341/jios.43.2.5","DOIUrl":"https://doi.org/10.31341/jios.43.2.5","url":null,"abstract":"This work is focused on the issue of job scheduling in a high performance computing systems. The goal is based on the analysis of scheduling models of tasks in grid and cloud, design and implementation of the simulator on the base of GPGPU. The simulator is verified by our own proposed model of job scheduling. The simulator consists of a centralized scheduler that is using GPGPU to process large amounts of data by parallel way. In order to ensure the optimization of the scheduling process we have implemented a simulated annealing algorithm. GPGPU model was compared to the CPU when the number of nodes from 32 to 2048. Improving the implementation based on GPGPU had a significant impact on the system with 512 nodes and with an increasing number of nodes further accelerates in comparison with sequential algorithm. In this work are designed new scheduling criteria which are experimentally evaluated.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43621063","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}
Karolina Dobi Barišić, B. Divjak, Valentina Kirinic
Digital competences should be considered in teacher education and professional development. The Technological Pedagogical Content Knowledge (TPACK) framework represents the knowledge required by teachers in order to successfully integrate technology into the teaching process. The Survey of Pre-service Teachers’ Knowledge of Teaching and Technology (SPTKTT) is one of the inventories developed to measure the TPACK framework. The aim of this study is to validate the SPTKTT inventory in the context of the Croatian education system by the use of exploratory and confirmatory factor analysis. Results showed that the new context structure of the SPTKTT inventory consists of nine factors, while confirmatory factor analysis established that the two Content Knowledge factors can actually be unified. This can be explained by differing content organization in education systems. There were also differences in the distribution of some of the remaining factors. Internal consistency of the inventory shows high reliability.
{"title":"Education Systems as Contextual Factors in the Technological Pedagogical Content Knowledge Framework","authors":"Karolina Dobi Barišić, B. Divjak, Valentina Kirinic","doi":"10.31341/jios.43.2.3","DOIUrl":"https://doi.org/10.31341/jios.43.2.3","url":null,"abstract":"Digital competences should be considered in teacher education and professional development. The Technological Pedagogical Content Knowledge (TPACK) framework represents the knowledge required by teachers in order to successfully integrate technology into the teaching process. The Survey of Pre-service Teachers’ Knowledge of Teaching and Technology (SPTKTT) is one of the inventories developed to measure the TPACK framework. The aim of this study is to validate the SPTKTT inventory in the context of the Croatian education system by the use of exploratory and confirmatory factor analysis. Results showed that the new context structure of the SPTKTT inventory consists of nine factors, while confirmatory factor analysis established that the two Content Knowledge factors can actually be unified. This can be explained by differing content organization in education systems. There were also differences in the distribution of some of the remaining factors. Internal consistency of the inventory shows high reliability.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"43 1","pages":"163-183"},"PeriodicalIF":0.6,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45085870","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}
Due to its many advantages, demand for natural gas has increased considerably and many models for predicting natural gas consumption are developed. The aim of this paper is to present an overview and systematic analysis of the latest research papers that deal with predictions of natural gas consumption for residential and commercial use from the year 2002 to 2017. Literature overview analysis was conducted using the two most relevant scientific databases Web of Science Core Collection and Scopus. The results indicate neural networks as the most common method used for predictions of natural gas consumption, while most accurate methods are genetic algorithms, support vector machines and ANFIS. Most used input variables are past natural gas consumption data and weather data, and prediction is most commonly made on daily and annual level on a country area level. Limitations of the research raise from relatively small number of analyzed papers but still research could be used for significant improving of prediction models for natural gas consumption.
由于天然气的许多优点，对天然气的需求大幅增加，并开发了许多预测天然气消耗的模型。本文的目的是对2002年至2017年住宅和商业用天然气消费预测的最新研究论文进行概述和系统分析。文献综述分析使用两个最相关的科学数据库Web of Science Core Collection和Scopus进行。结果表明，神经网络是预测天然气消费量最常用的方法，而最准确的方法是遗传算法、支持向量机和ANFIS。最常用的输入变量是过去的天然气消费数据和天气数据，最常用的预测是在国家和地区层面的每日和年度水平上进行的。该研究的局限性源于相对较少的分析论文，但该研究仍可用于显著改进天然气消费预测模型。
{"title":"Analysis of methods and techniques for prediction of natural gas consumption","authors":"Dario Šebalj, J. Mesaric, Davor Dujak","doi":"10.31341/JIOS.43.1.6","DOIUrl":"https://doi.org/10.31341/JIOS.43.1.6","url":null,"abstract":"Due to its many advantages, demand for natural gas has increased considerably and many models for predicting natural gas consumption are developed. The aim of this paper is to present an overview and systematic analysis of the latest research papers that deal with predictions of natural gas consumption for residential and commercial use from the year 2002 to 2017. Literature overview analysis was conducted using the two most relevant scientific databases Web of Science Core Collection and Scopus. The results indicate neural networks as the most common method used for predictions of natural gas consumption, while most accurate methods are genetic algorithms, support vector machines and ANFIS. Most used input variables are past natural gas consumption data and weather data, and prediction is most commonly made on daily and annual level on a country area level. Limitations of the research raise from relatively small number of analyzed papers but still research could be used for significant improving of prediction models for natural gas consumption.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.43.1.6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42636254","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}
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