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1. TRR 391
2. Research
3. Projects
A02

Big Data TU Dortmund University Prof. Dr. Johannes Lederer Department of Mathematics - Chair of Mathematics of Data-Driven Methods University of Hamburg Summary When analyzing spatio-temporal data in high [...] extremes to analyze rare events. In the long term, a framework for high-dimensional space-time data analysis is developed that is equipped with thorough statistical theory and meets practical challenges [...] research agenda: the focus is both on autoregressive (VAR) models and panel data setups to analyze typical behavior, and on the analysis of spatio-temporal extremes to analyze rare events. The former is challenging …
1. FAIR
2. Navigation
3. About
Advisory Board

Methods Data Science, Algorithm Design and Computational Theory Prof. Jeff M. Phillips, Ph.D. © University of Utah University of Utah Algorithms for Big Data, Geometric Data Analysis Educational Data Science [...] (including special education and learning analytics), psychology, sociology, statistics, data science (including educational data science), and research methods. The board members ensure that FAIR focuses on c [...] Hiroki Ogata, Ph.D. © FAIR/TU Dortmund Kyoto University Learning Analytics, Educational Data Science, Educational Data Mining …
1. AI
2. Study Programs
Safe Artificial Intelligence

program fits and extends the research profile of TU Dortmund in the area of “Data Analysis, Modeling and Simulation” . Data Analysis is not only a key discipline of modern science, but it also induces safety [...] Computer Science Safe Artificial Intelligence - Master of Science © Pixabay The increasing use of large data resources and automated decision systems raises the demand for safe, reliable, and trustworthy intelligent …
1. Physik
2. Event: 7/13/2021
Thesis defense of Henning Moldenhauer

combines the Raman scattering data with chemometrical methods, providing a fast insight into huge sets of data and supporting the results obtained by conventional analysis. [...] tribological properties may be tailored to the desired application. In order to simplify the analysis of the spectral data, a software package is developed, which allows for a fast correlation of spectral information …
1. Compstat
2. Research
3. Projects
Spatio-Temporal Data Analysis for Logistics Networks

Real-Time Spatio-Temporal Data Analysis for Monitoring Logistics Networks In complex logistics and supply chain networks, the acquisition of tracking data representing the flow of entities through the [...] transport networks). Our methods will enable (a) the integration of different data types, e.g., event, weather, and tracing data, (b) the ability to cope with changes in the underlying logistics network in [...] the next hour as accurately as possible to manage the traffic at logistics sites. However, acquiring data is costly in terms of money, energy used by sensors, and required IT infrastructure. In this project …
1. FAIR
2. Navigation
3. News and Events
4. Workshops
FAIR Workshop on Learning Analytics

analytics refers to data mining, analysis and intervention practices that support educational processes individually and systematically. The aim is to analyze and visualize relevant educational data in near real [...] Dashboard Design and Data Visualisation for Learning Analytics” Thursday until noon: Dr. Jan Delcker, Joana Heil and Yvonne Hemmler on “Introduction to Learning Analytics: Data-driven support of educational [...] field, individual visualisations or even whole dashboards are often used to show the results of data analysis in an easily digestible form, e.g. to learners or teachers. Often, however, what was intended …
1. SSE
2. Lehre
3. Wintersemester 2023/2024
Project: Static Program Analysis in Practice

participants are gradually introduced to the core concepts of static program analysis by implementing respective analysis tasks. Starting with simple analyses that extract information like the number [...] we will explore more advanced concepts like dataflow analysis and abstract interpretation. Participants will work in groups to solve different analysis tasks and evaluate their implementation on real-world [...] 13) using the OPAL framework. Literature and Further Reading Eric Bodden. Inter-procedural data-flow analysis with IFDS/IDE and Soot The OPAL framework Learning Scala (we require Scala 2.13 in the project …
1. SSE
2. Lehre
3. Wintersemester 2024/2025
Project: Static Program Analysis in Practice

participants are gradually introduced to the core concepts of static program analysis by implementing respective analysis tasks. Starting with simple analyses that extract information like the number [...] we will explore more advanced concepts like dataflow analysis and abstract interpretation. Participants will work in groups to solve different analysis tasks and evaluate their implementation on real-world [...] 13) using the OPAL framework. Literature and Further Reading Eric Bodden. Inter-procedural data-flow analysis with IFDS/IDE and Soot The OPAL framework Learning Scala (we require Scala 2.13 in the project …
acm_2635868.2635878.bib

taint-analysis approach that works inside-out, i.e., tracks data flows from potentially vulnerable calls to the outer level of the API which the attacker might control. This inside-out analysis requires [...] context-sensitive coordination of both a backward and a forward taint analysis. In this work, we expose a design of the analysis approach based on the IFDS algorithm, and explain several extensions to [...] Bodden, Eric and Mezini, Mira}, title = {FlowTwist: Efficient Context-Sensitive inside-out Taint Analysis for Large Codebases}, year = {2014}, isbn = {9781450330565}, publisher = {Association for Computing …
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1. dbis
2. Publications
3. Bachelor, Master, Diploma Theses
2023

(Pascal Feige, 02/2023) Bachelor's theses Analysis of tuple-materialization for nested data (Fabian Schmidt, 10/2023) Evaluation der Praktischen Effizienz von Data-Induced Prädikaten (Jana Hauck, 09/ 2023) …