Publications
206 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-206
Die Erfassung von Publikationen aus der Datennutzung: Verfahren, Herausforderungen und Nutzen. Ein Erfahrungsbericht von Forschungsdatenzentren.Daniel, A., Jakowatz, S., Jung, N., Kleine, L., Kocaj, A., ... & Schuster, A. (2023).Die Erfassung von Publikationen aus der Datennutzung: Verfahren, Herausforderungen und Nutzen. Ein Erfahrungsbericht von Forschungsdatenzentren. RatSWD Working Paper 281/2023. Berlin: Rat für Sozial- und Wirtschaftsdaten (RatSWD). https://doi.org/10.17620/02671.80 |
10.-21. Sozialerhebung 1982-2016. Daten- und Methodenbericht zum gepoolten Datensatz der zwölf Studierendenbefragungen.Middendorff, E., & Wallis, M. (2023).10.-21. Sozialerhebung 1982-2016. Daten- und Methodenbericht zum gepoolten Datensatz der zwölf Studierendenbefragungen. Hannover: DZHW. Abstract
The report on the cumulative data set for the 10th-21st Social Survey (1982 - 2016) explains the data preparation process and describes the variables in the data set. The survey series has a unique regional scope, is based on large, random samples, and is thus a powerful source of data for studies of the aspects covered over time. It allows a differentiated examination of students with various characteristics, such as by type of university, university entrance, subject groups, gender, age groups, educational and regional origins, financial situation, living arrangements, partnership status, and parenthood. [...] Full abstract: https://doi.org/10.21249/DZHW:ssypool:3.0.0 |
Das soziale Profil in der Begabtenförderung. Daten- und Methodenbericht zur Befragung der Geförderten 2008.Middendorff, E. (2023).Das soziale Profil in der Begabtenförderung. Daten- und Methodenbericht zur Befragung der Geförderten 2008. Hannover: DZHW. Abstract
The report is part of the data package "The Social Profile in the Promotion of the Gifted 2008". The scientific use file contains information on a total of 9,540 recipients of support from the eleven organizations for the promotion of the gifted that existed in Germany in 2008 - including 7,947 recipients of support for studies and 1,593 recipients of support for doctoral studies. In addition to specific questions on the promotion of the gifted, the questionnaire was based on the 18th Social Survey (2006). This allows direct comparison with the population or different student groups, especially on topics such as sociodemographic characteristics, social origin, [...] Full abstract: https://doi.org/10.21249/DZHW:gif2008:1.0.0 |
Determinanten und Effekte von Kooperation in homogenen und heterogenen Forschungsverbünden (DEKiF).Meißner, F., İkiz-Akıncı, D., Weinmann, C., Hückstädt, M., Huneke, J. S., Block, J., & Wallis, M. (2023).Determinanten und Effekte von Kooperation in homogenen und heterogenen Forschungsverbünden (DEKiF). Daten- und Methodenbericht zum DEKiF-Projekt. Hannover/Düsseldorf: DZHW. Abstract
The project Determinants and Effects of Collaboration in homogeneous and heterogeneous Research Clusters (DEKiF) focuses on the potential of university and entrepreneurial collaboration in the form of linked resources, personalities, competencies, and exchanged experiences as well as perspectives. Apart from these positive effects, the mixed methods study further highlights the increasing challenges that collaborating companies and universities have to face. The explorative case study of homogenous and heterogenous research cooperation investigated if the theoretical and previously elicted problems, solutions, [...] Full abstract: https://doi.org/10.21249/DZHW:decquant:1.0.0 |
Eurostudent VII.Daniel, A., Buck, D., & Wallis, M. (2023).Eurostudent VII. Daten- und Methodenbericht SUF Version 3.0.0. Hannover: DZHW. Abstract
The EUROSTUDENT project collects and analyses comparable data on the social dimension of European higher education. A wide range of topics related to students’ social and economic conditions are covered. The project strives to provide reliable and insightful cross-country comparisons. It does this through coupling a central coordination approach with a strong network of national partners in each participating country. In this way, an assessment of the strengths and weaknesses of the respective national frameworks in international comparison can be made. [...] Full abstract: https://doi.org/10.21249/DZHW:es7:3.1.0 |
FACADE: Fake articles classification and decision explanation.Shahania, S., Purificato, E., Thiel, M., & William De Luca, E. (2023).FACADE: Fake articles classification and decision explanation. In J. Kamps et al. (Hrsg.), Advances in Information Retrieval (S. 294-299). Cham: Springer. https://doi.org/10.1007/978-3-031-28241-6_29 |
Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets.Mondal, R., Dung Do, M., Ahmed, N. U., Walke, D., Micheel, D., ... & Heyer, R. (2023).Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. In BMC Medical Informatics and Decision Making (Hrsg.), Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021). Heidelberg: BMC Part of Springer Nature. https://doi.org/10.1186/s12911-023-02112-8 |
Data streams: Investigating data structures for multivariate asynchronous time series prediction problems.Vox, C., Broneske, D., Shaikat, I., & Saake, G. (2023).Data streams: Investigating data structures for multivariate asynchronous time series prediction problems. In M. de Marsico, G. Sanniti di Baja, & A. Fred (Hrsg.), Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023) (S. 686-696). Lissabon, Portugal: SCITEPRESS. https://doi.org/10.5220/0011737300003411 |
Mustervertrag Datenaufnahme KonsortSWD.Schallaböck, J., Kreutzer, T., Hoffstätter, U., & Buck, D. (2023).Mustervertrag Datenaufnahme KonsortSWD. KonsortSWD Working Paper 5a/2023. Berlin: Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). https://doi.org/10.5281/zenodo.7648898 |
Erläuterungen zur Datenaufnahme in Forschungsdatenzentren.Kreutzer, T., Schallaböck, J., Hoffstätter, U., & Buck, D. (2023).Erläuterungen zur Datenaufnahme in Forschungsdatenzentren. KonsortSWD Working Paper 5b/2023. Berlin: Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). https://doi.org/10.5281/zenodo.7648898 |
Towards a strategy for developing a project partner recommendation system for University course projects.Obionwu, C. V., Singh Walia, D., Tiwari, T., Ghosh, T., Broneske, D., & Saake, G. (2023).Towards a strategy for developing a project partner recommendation system for University course projects. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 6th World Conference on Computing and Communication Technologies (WCCCT) (S. 144-151). Chengdu, China: IEEE. https://doi.org/10.1109/WCCCT56755.2023.10052282 |
Semantic relatedness: A strategy for plagiarism detection in SQL assignments.Obionwu, C. V., Kumar, R., Shantharam, S., Broneske, D., & Saake, G. (2023).Semantic relatedness: A strategy for plagiarism detection in SQL assignments. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 6th World Conference on Computing and Communication Technologies (WCCCT) (S. 158-165). Chengdu, China: IEEE. https://doi.org/10.1109/WCCCT56755.2023.10052438 |
Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC).Broneske, D., & Habich, D. (2023).Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC). In B. König-Ries et al. (Hrsg.), Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331. Bonn: Gesellschaft für Informatik e.V.. https://doi.org/10.18420/BTW2023-40 |
Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models.Safikhani, P., Avetisyan, H., Föste-Eggers, D., & Broneske, D. (2023).Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models. Discover Artificial Intelligence 3, 2023(6). https://doi.org/10.1007/s44163-023-00050-y |
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