Relevant bibliographies by topics / Research Subject Categories – SOCIAL SCIENCES – Statistics, computer and systems science

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Research Subject Categories – SOCIAL SCIENCES – Statistics, computer and systems science'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Research Subject Categories – SOCIAL SCIENCES – Statistics, computer and systems science"

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Hu, Jiming, and Yin Zhang. "Measuring the interdisciplinarity of Big Data research: a longitudinal study." Online Information Review 42, no. 5 (2018): 681–96. http://dx.doi.org/10.1108/oir-12-2016-0361.

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Purpose The purpose of this paper is to measure the degree of interdisciplinary collaboration in Big Data research based on the co-occurrences of subject categories using Stirling’s diversity index and specialization index. Design/methodology/approach Interdisciplinarity was measured utilizing the descriptive statistics of disciplines, network indicators showing relationships between disciplines and within individual disciplines, interdisciplinary communities, Stirling’s diversity index and specialization index, and a strategic diagram revealing the development status and trends of discipline
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Lyubimov, I. I., N. N. Yakunin, N. V. Yakunina, and Sh M. Minatullaev. "THE RESULTS OF THE STUDY OF THE RELATIONSHIP BETWEEN THE NUMBER OF ROLLING STOCK UNITS OF PASSENGER ROAD TRANSPORT AND GROSS REGIONAL PRODUCTS." Intellect. Innovations. Investments, no. 6 (2022): 88–98. http://dx.doi.org/10.25198/2077-7175-2022-6-88.

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Passenger road transport plays an important role in the functioning of the state. This thesis can be substantiated by the fact that passenger road transport performs an important social task — the transportation of passengers. Passenger road transport is fully integrated into the transport system of the country and its subjects. The article considers three main types of activities in which passenger road transport is involved. The authors refer the commercial transportation of passengers to the first type, the transportation of passengers for the own needs of the carrier company to the second,
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Jesenko, Berndt, and Christian Schlögl. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences." Scientometrics 126, no. 8 (2021): 6785–801. http://dx.doi.org/10.1007/s11192-021-04060-4.

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AbstractThe primary goal of this article is to identify the research fronts on the application of data-driven methods in business and economics. For this purpose, the research literature of the business and economic sciences Subject Categories from the Web of Science is mapped using BibExcel and VOSviewer. Since the assignment to subject categories is done at the journal level and since a journal is often assigned to several subject categories in Web of Science, two mappings are performed: one without considering multiple assignments (broad view) and one considering only those (articles from)
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Keramatfar, Abdalsamad, and Hossein Amirkhani. "Bibliometrics of sentiment analysis literature." Journal of Information Science 45, no. 1 (2018): 3–15. http://dx.doi.org/10.1177/0165551518761013.

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This article provides a bibliometric study of the sentiment analysis literature based on Web of Science (WoS) until the end of 2016 to evaluate current research trends, quantitatively and qualitatively. We concentrate on the analysis of scientific documents, distribution of subject categories, languages of documents and languages that have been more investigated in sentiment analysis, most prolific and impactful authors and institutions, venues of publications and their geographic distribution, most cited and hot documents, trends of keywords and future works. Our investigations demonstrate th
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Taskin, Zehra, and Umut Al. "Natural language processing applications in library and information science." Online Information Review 43, no. 4 (2019): 676–90. http://dx.doi.org/10.1108/oir-07-2018-0217.

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Purpose With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpose of this paper is to identify subfields of library and information science (LIS) where NLP can be used and to provide a guide based on bibliometrics and social network analyses for researchers who intend to study this subject. Design/methodology/approach Within the scope of this study, 6,607 publi
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Sorz, Johannes, Wolfgang Glänzel, Ursula Ulrych, Christian Gumpenberger, and Juan Gorraiz. "Research strengths identified by esteem and bibliometric indicators: a case study at the University of Vienna." Scientometrics 125, no. 2 (2020): 1095–116. http://dx.doi.org/10.1007/s11192-020-03672-6.

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AbstractThe identification of one’s own research strengths is of crucial importance for research administration at universities. In this case study, two different approaches were applied to the University of Vienna. The first relies on funding and rankings information as well as on other esteem indicators. The second is based on a bibliometric analysis of the publication output. We used two alternative clusterings for publications for the bibliometric analysis: Web of Science subject categories and lists of researchers associated with esteem-indicators. Both, esteem-indicators and bibliometric
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Su, Fangli, Yin Zhang, and Zachary Immel. "Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science." Journal of Documentation 77, no. 1 (2020): 143–61. http://dx.doi.org/10.1108/jd-05-2020-0072.

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PurposeThe purpose of this paper is to examine the structure, patterns and themes of interdisciplinary collaborations in the digital humanities (DH) research through the application of social network analysis and visualization tools.Design/methodology/approachThe sample includes articles containing DH research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among disciplinary were extracted from the subject category. Second, the descriptive statistics, network indicators and interdisciplinary communities were calculated. Third, t
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Joorabchi, Arash, Michael English, and Abdulhussain E. Mahdi. "Text mining stackoverflow." Journal of Enterprise Information Management 29, no. 2 (2016): 255–75. http://dx.doi.org/10.1108/jeim-11-2014-0109.

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Purpose – The use of social media and in particular community Question Answering (Q & A) websites by learners has increased significantly in recent years. The vast amounts of data posted on these sites provide an opportunity to investigate the topics under discussion and those receiving most attention. The purpose of this paper is to automatically analyse the content of a popular computer programming Q & A website, StackOverflow (SO), determine the exact topics of posted Q & As, and narrow down their categories to help determine subject difficulties of learners. By doing so, the au
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Papi, Zeinab, Saeid Rezaei Sharifabadi, Sedigheh Mohammadesmaeil, and Nadjla Hariri. "Technical requirements for copyright protection of electronic theses and dissertations in INSTD." Electronic Library 35, no. 1 (2017): 21–35. http://dx.doi.org/10.1108/el-11-2015-0226.

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Purpose This study aims to determine the technical requirements for copyright protection of theses and dissertations for proposing a model for applying in Iran’s National System for Theses and Dissertations (INSTD). Design/methodology/approach This study used a mixed research methodology. The grounded theory was used in the qualitative phase, and a researcher-made checklist was applied in the quantitative phase for surveying the status of the INSTD. Research population included INSTD as well as six information specialists and copyright experts. Data were analysed by using open, axial and selec
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Kabera, Samuel. "Impact of Good Governance on Social and Economic Development in Rwanda." International Journal of Scientific Research and Management 10, no. 05 (2022): 2322–46. http://dx.doi.org/10.18535/ijsrm/v10i5.el04.

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The purpose of this study was assessed the impact of good governance on social and economic development in Rwanda. The specific objectives: To determine the impact of good governance on social and economic development brought by Rwanda Governance Board; To analyze challenges facing good governance for social and economic development at Rwanda Governance Board and To establish relationship between good governance and social-economic development in Rwanda. This study was designed as a case study of Rwanda Governance Board using the survey method; a case study was described as analysis of the imp
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Dissertations / Theses on the topic "Research Subject Categories – SOCIAL SCIENCES – Statistics, computer and systems science"

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Fernandes, Cláudio, José Nunes, and Tiago José Miranda Santos. "Interface de Simulação e Visualização da Instrumentação de Aeronaves não Tripuladas." Bachelor's thesis, DEEC, 2009. http://hdl.handle.net/10316/89507.

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Neste relatório descreve-se o processo de desenvolvimento de um sistema informático que proporciona uma interface de simulação e visualização da instrumentação de aeronaves não tripuladas. O resultado do trabalho desenvolvido insere-se no âmbito do projecto DIVA (1). A plataforma informática desenvolvida compreende dois programas distintos: Simulator: Programa que possibilita a leitura e comunicação de dados, de uma aeronave, previamente guardados. A sua função principal é representar para a interface gráfica um dirigível virtual, simulando missões já realizadas. DIVAgui: Interface g
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Cutugno, Carmen. "Statistical models for the corporate financial distress prediction." Thesis, Università degli Studi di Catania, 2011. http://hdl.handle.net/10761/283.

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Partescano, Elena. "Integrazione di dati geognostici e geofisici per la realizzazione di un geodatabase relazionale finalizzato allo studio della R.S.L. nell'area della provincia di Catania (Sicilia orientale) e possibili applicazioni." Thesis, Universita' degli Studi di Catania, 2011. http://hdl.handle.net/10761/115.

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L'obbiettivo primario di questo lavoro e' stato quello di sviluppare uno strumento finalizzato alla raccolta e alla gestione integrata di considerevoli quantita' di dati acquisiti mediante l'esecuzione di differenti tipologie d'indagine. L'opportunita' di mettere in relazione i parametri geofisici con le caratteristiche geo litologiche del sottosuolo ha permesso di focalizzare l'attenzione sullo studio della risposta sismica locale, utilizzando tecniche di sismica passiva sia per ricavare informazioni sul comportamento dinamico del terreno sia per effettuare
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Tunuguntla, Surya Teja. "Adaptive charging techniques for Li-ion battery using Reinforcement Learning." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/5032.

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Li-ion batteries have become a promising technology in recent years and are used everywhere from low-end devices like mobile phones to high-end ones like electric vehicles. In most applications, the discharge of a battery is user-dependent unlike the charging process, which can be optimized. The research in literature is more focused on identifying the techniques that fully charges the battery with no initial charge for different optimum criteria like charging time, temperature rise, and energy loss. But those are not strictly applicable for real-life scenarios, where the charging process rare
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Journal articles
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