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1. DoCMA
2. About DoCMA
DoCMA – What we do

political text data and joined the DoCMA team in 2018. Professor Erich Schubert, expert for data mining, joined in 2019. The importance of text analysis with data mining rises. Just a few years ago, it would [...] Make imperceptible changes visible DoCMA combines the expertise in media analysis of the Institute of Journalism with the data analysis and text mining skills in the faculties of Statistics and Computer Science [...] amounts of data - but so far he was more familiar with numbers than letters. His colleague Carsten Jentsch holds the chair for "Business and Social Statistics". He is familiar with the analysis of political …
1. Physik
2. Event: 6/21/2022
Quantum Computing for High-Energy Physics and Data Analysis

quantum computing algorithms can be beneficially applied to tasks in high-energy physics and data analysis - at current and near-term quantum devices. Examples will include quantum gate computing algorithms …
1. LWuS
2. Homepage
3. Research
Publications - Chair of Buisness and Social Statistics

(2020). Time-dependent Poisson reduced rank models for political text data analysis. Computational Statistics and Data Analysis 142 , 106813. DOI . Jentsch, C., Leucht, A., Meyer, M., and C. Beering (2020) [...] (2023). SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. Proceedings of the 3rd Workshop on Computational Linguistics for Political Text Analysis@KONVENS 2023. pdf . download [...] Reichmann, L. (2022). Generalized Binary VAR Processes. Journal of Time series Analysis 43 , 285-311. DOI . 2021 Prüser, J. (2021). Data-Based Priors for Vector Error Correction Models. International Journal of …
1. Department of Statistics
2. Studies
3. Degrees
Enrollments before 2019

(2007 to 2012) B.Sc. Data Analysis and Data Management Examination Regulations (from winter semester 2015/2016 to summer semester 2019) Module Handbook - Data Analysis and Data Management B.Sc. Course [...] PDF file with the transitional regulations for the Bachelor Data Analysis und Data Management , den Bachelor Statistics und den Master Data Science ). B.Sc. Statistics Examination Regulations (from winter [...] 2019 On this page, you find information on the programmes Statistics B.Sc./M.Sc. and Data Analysis B.Sc. as well as Data Science M.Sc. according to the respective examination regulations from before 2019 …
1. TRR 391
2. Research
3. Projects
B04

B04 Real-time spatio-temporal data analysis for monitoring logistics networks B04 considers logistics distribution networks and investigates methods for prediction and uncertainty quantification, which [...] which integrate different data types such as barcode scans, arrival confirmations, weather, and tracing data. In the long run, different modeling frameworks (based on agents, flow/density/speed, or (stochastic) [...] tracking data representing the flow of entities through the networks has become - due to increased connectivity and cheaper hardware - state of the art. In addition to pure spatio-temporal data, related …
1. MIKRO
2. Teaching
3. Winter term
Causal analysis: Economics meets Data Science

causal analysis. Causal analysis examines the extent to which the causal effect of a certain measure (e.g. minimum wage) on a certain variable (e.g. unemployment) can be derived from observable data. For [...] microeconometrics and data science are used, which have a broad field of application in economics, data science, or strategic management. The course combines the theory of causal analysis with its application [...] Bachelor Causal analysis: Economics meets Data Science Module: Module 8a-d: Microeconomics I Lecturer: Prof. Dr. Lukas Buchheim M. Sc. Marc Schmidt Scope / Credits: 4 SWS / 7,5 Credits Course type: Lecture …
1. Genetik
2. Research
Projects

Information durch Analyse unter Ressourcenbeschränkung (Providing Information by Resource-Contrained Data Analysis) project manager for subproject A3 Methoden der Effizienten Ressourcennutzung in Algorithmen des [...] subproject B1 Ressourcen-beschränkte Analyse von Spektrometriedaten (Resource-limited analysis of spectrometry data) (01/2015-12/2018) DFG Graduiertenkolleg, GK 1032 Statistische Modellbildung (Statistical [...] Proteomik (ZAP), part of the life science innovation platform Dortmund project 5.1 Statistical Analysis of Data from Mass Spectrometry and Difference Gel Electrophoresis (04/2007-06/2008) Further projects …
1. UB
2. Research & Publishing
3. Publication Support
Text and Data Mining (TDM)

TDM? Text and data mining (TDM) refers to the automated analysis of (large) amounts of texts or other data with regard to a specific question. Computer-aided methods are used to examine a data set, for example [...] Preparation of the data The preparation of the data includes, among other things, the creation of machine readability, the structuring and normalization of the data, and the compilation of the data into a corpus [...] access (concerns the acquisition of the data) Questions of making the data accessible (concerns the transfer or sharing of data) Questions about preservation of data (concerns archiving of the corpus) Questions …
1. Physik
2. Event: 11/8/2021
Thesis defense of Cornelius Grunwald

Bayesian data analysis are employed in the search for physics beyond the Standard Model (BSM). A new implementation of the Bayesian Analysis Toolkit in Julia (BAT.jl) is introduced as a modern data analysis …
1. dbis
2. Publications
3. 2017
Efficiently Storing and Analyzing Genome Data in Database

Efficiently Storing and Analyzing Genome Data in Database Systems Title Efficient Storage and Analysis of Genome Data in Databases Authors Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple [...] Genome-analysis enables researchers to detect mutations within genomes and deduce their consequences. Researchers need reliable analysis platforms to ensure reproducible and comprehensive analysis results [...] the complete genome-analysis process, because (1) database systems suffer from high storage overhead for genome data and (2) they introduce overhead during domain-specific analysis. To overcome these …