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1. DoCMA
2. Team
3. Professors
DoCMA – Erich Schubert

especially cluster analysis, anomaly detection and text mining, as well as database techniques to accelerate such analysis processes since 2014 increasingly involved in the analysis of text data streams Send [...] topic of outlier detection in high-dimensional data from 2016 to 2018 postdoc and substitute professor at Heidelberg University since professor for data mining at TU Dortmund research focus on unsupervised …
1. IPS
2. News: 5/21/2019
Project start for industrial data analysis in Dortmund (joint research project AKKORD)

profitably apply data analysis - both within the company and across value-added networks. For this purpose, an online platform will be developed, which includes solutions for comprehensive data integration [...] as well as easy-to-use, standardized data analysis modules and dashboards. In addition, the development and provision of modules for competence analysis and competence acquisition will lay the foundation [...] foundation for a targeted expansion of employees' competence in the area of data analysis. The results of the AKKORD project are elaborated by the application partners Volkswagen, Miele, ERCO, Brabant & Lehnert …
1. APP
2. Research
Philosophie der Astroteilchenphysik

physical theories and theory-dependent data can be interpreted in realistic terms. Workshop "From Raw Data to Measurement Results – Epistemological Problems in Data Analysis" In this interdisciplinary workshop [...] methods of computer simulation and machine learning, we address the epistemological questions of data analysis as well as the probabilistic and causal-mechanistic explanations of APP. APP bridges the gaps [...] explanations; the inductive inference from phenomena to their causes. In this project, we analyse the data analysis of APP, including the role of computer simulations and machine learning, with respect to its …
1. Department of Statistics
Research

experimental techniques have been developed for the analysis of genomic data, in which myriad traits are measured simultaneously, making the skilled use of Big Data analyses enormously important. Many students [...] base, with the most important tool being regression analysis. Due to the temporal structure of much economic data, diverse methods of time series analysis, which are often developed specifically for econometric [...] for fault detection, fault analysis and improvement in technical processes and products. On the other hand, technometrics develops tools for the analysis of large amounts of data. These include special c …
1. IPS
2. Research & Consult
3. Research Projects
4. 2023
ProData

t from a data-related perspective. This includes the integration of existing data from the different process steps and their cross-process analysis. In the first phase, a data science team will merge and [...] efficiently analyze this data and detect process and material anomalies to proactively and predictively monitor and improve process and part quality. Since data evaluation and analysis in the context of plastics [...] goal is to apply data science methods to efficiently analyze and predict process and material anomalies. This includes establishing a system for continuous data collection and analysis to support a continuous …
1. APP
2. Teaching
3. Lectures
Lectures

ter and Wintersemester Statistical Methods for Data Analysis The lecture Statistical Methods for Data Analysis is divided into two parts. Nowadays, data is usually collected electronically in huge amounts [...] appropriate handling of statistical methods for the analysis of moderate to very large amounts of data, oriented to the temporal sequence of a data analysis. The exercises are solved (also) on the computer [...] l competence in data analysis is acquired for the preparation of theses and later professional practice. The course contents include: SMD A: Numerical methods of data processing, data handling and programming …
1. APP
2. News: 10/11/2024
Congratulations to Dr. Jan Lukas Schubert on the successful defense of his PhD

for pulsar analysis. "autoMAGIC" allows for reproducible, automated analysis with minimal human interaction. He developed a standardized pipeline for pulsar analyses of MAGIC telescope data with the o [...] software gammapy, which was developed for the standardized analysis of data from different telescopes. He analyzed about 480 hours of observational data for the Crab pulsar and detected its pulsed signal with [...] which were studied using data from the MAGIC telescopes. These are two high-energy gamma-ray telescopes located on the Canary Island of La Palma. To cope with the huge amount of data collected over more than …
1. IPS
2. News: 4/30/2021
“Analysis Modules and Configuration” - work report from the AKKORD research project

sought so that data analyses can also be used for SMEs in value networks at a reasonable time and effort: By establishing a configuration concept for automated model building and data analysis, uniform analysis [...] generation of analysis dashboards is intended to enable individualizable solutions for practical in-field deployment. With the help of a user-oriented configuration assistant for data analysis, use case-dependent [...] In the field of analysis modules and configuration aspects, RapidMiner GmbH and the Institute of Production Systems (IPS) at TU Dortmund University are leading the work on the required partial solutions …
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. AQUA
2. Research
3. Projects
QuARUm

Decisions for Earth Science Data Problem In the analysis of geochemical data, ensuring data quality is essential. Samples copntaminated by detritus may lead to erroneous analysis results and need to be identified [...] moment, performing data cleaning requires repetitive manual work, wasting time and effort. Automating data cleaning tasks would free scientists from this manual effort, leading to better data quality and more [...] simple, user-friendly for crearing automated custom build quality assessments of measured data and literature data. Funding The QuARUm project is conducted in collaboration with Constructor University and …