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1. IFS
2. News: 12/10/2021
Interdisciplinary profile area FAIR starts work

brings together researchers from data sciences, statistics, education sciences, psychology, rehabilitation studies, and sociology to develop innovative methods of data analysis to address societal challenges [...] important because increasingly larger and more complex data, such as from longitudinal studies in empirical education research and life course data from sociological aging research, can contribute to s [...] understanding of interrelationships. In the social sciences, increasingly larger and more complex data are available that can contribute to more accurate predictive models (e.g., for outcomes such as school …
1. ITMC
2. Our Services
3. Applications
4. Administration Applications
Business Intelligence

systems, monitoring the interfaces to the data-providing systems, design and implementation of data extraction, transformation and loading processes, error analysis, description and reporting, support for [...] reporting based on centrally provided validated and historicized data. Cognos is used to select, validate and uniformly prepare the data relevant to reporting from a wide variety of procedures and systems [...] ion and decentralized user groups can be provided with reports using the normalized and validated data. Support provided by ERP/BI Competence Center for BI systems and applications includes: installation …
1. IM
2. Research
3. Research Topics
Advanced Computational Methods

embedding physical information into neural networks. Data-driven Mechanics Data-driven mechanics is a cutting-edge approach in engineering that uses data to predict how materials and structures will behave [...] complex mathematical models directly, scientists collect data from sophisticated simulations, like multiscale methods, to construct a data set. This data set is then used directly to solve engineering problems [...] simulation. Schematic visualization of the data-driven mechanics approach Contact: Gian-Luca Geuken , Marius Harnisch Isogeometric Analysis (IGA) Isogeometric Analysis (IGA) has originally been developed with …
1. APP
2. News: 11/4/2022
Paper of the IceCube collaboration in the journal Science

been found. Scientists from Dortmund contributed to this result by developing methods for data analysis and data simulation. The results were published in the journal Science on 4 November 2022. Publication …
1. Master of Science (M.Sc.)
Data Science in Sports and Health

The degree program is an English-language Master of Science program with a focus on data analysis in scientific disciplines of sports science. This interdisciplinary program is designed for sports scientists [...] in sports science, the program serves as an excellent complement to the existing Master's program "Data Science" of the Faculty of Statistics. …
1. MSNat - Fakultät Statistik - TU Dortmund
Publications

Burkhardt, H., Schmidt-Thieme, L., Decker, R. (Eds.). Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization , 277-284. Springer Berlin [...] W. (2014). Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy. Advances in Data Analysis and Classification, 8 (2), 195-216. doi:10.1007/s11634-014-0167-5 Weyer [...] volatilities. Computational Statistics, Data Analysis, 56 (11), 3080-3090. doi:10.1016/j.csda.2011.02.012 Fried, R., Raabe, N., Thieler, A. M. (2012). On the robust analysis of periodic nonstationary time series …
1. DAES
2. Forschung
3. Forschungsprojekte
SFB 876

Resource-Constrained Data Analysis The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning [...] learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms [...] by LS8 at TU Dortmund Currently, active subprojects from LS12 as part of the SFB (external links): Data Mining for Ubiquitous System Software (Jan. 2019 - Dec. 2022) Methods for Efficient Resource Utilization …
1. Physik
2. Event: 8/24/2023
Thesis defense of Evelin Lienau

protection concept of occupationally exposed persons. In this work, multivariate analysis techniques for glow curve analysis using deep learning approaches are developed to estimate the irradiation day within [...] single-dose irradiation using a Cs-137 source with a prediction uncertainty of two days. To create a data basis for training the application of deep learning, over 10 000 measurements were performed in c [...] generative adversarial networks (GANs) is presented, which makes it possible to expand the measured data set artificially and thus create a larger database for the deep learning approaches. …
1. DoCMA
2. Research
UPI Data

for MUFin’23 .) The data of the latest UPI version is free for download . The data set includes: The UPI values till March 2023 (Analysis corpus relative to entire corpus, monthly data) The UPI LDA's topic [...] shares over time (word occurences relative to entire corpus, monthly data) The UPI LDA's topic words over time (absolute occurene, monthly data) For question on methodology see the respective working paper [...] Uncertainty Perception Indicator (UPI) The Uncertainty Perception Indicator developed by DoCMA uses data of media coverage to quantify perceived uncertainty and its drivers. The German version consists of …
1. ITPL
Research at ITPL

and the requirements for input and output data in simulation are also addressed. Another research field of the department is data analysis with a focus on data mining as well as knowledge representation [...] pillars. This pursues the different coupling mechanisms between data mining and simulation and is reflected in current research projects on data farming and graph analyses. Your contact person for research [...] in production and logistics. In numerous research projects and publications, questions concerning data quality, automation mechanisms and demand-oriented process models have been discussed. © ymgerman …