Kompetenzzentrum für Data Science in Geschäftsanwendungen

zu Forschungsinstitute

Daten für smarte Entscheidungen

Data Science in der Anwendung

Im Data Science Competence Center (DSCC) werden alle Aktivitäten rund um die Auswertung und Analyse von Daten gebündelt.

Diese Aktivitäten umfassen eine Vielzahl von Prozessen und Techniken, die darauf abzielen, wertvolle Erkenntnisse aus großen Mengen an Daten zu gewinnen. Diese Aktivitäten sind essenziell für Unternehmen und Organisationen, um datenbasierte Entscheidungen zu treffen, Wettbewerbsvorteile zu erzielen und innovative Lösungen zu entwickeln.

Data Science umfasst dabei verschiedene Methoden und Techniken wie Datenanalyse, Auswertung, Erkenntnisgewinnung und Entscheidungsfindung.

Statistische Analysen und Machine Learning-Algorithmen werden verwendet, um Zusammenhänge und Muster in den Daten zu erkennen. Künstliche Intelligenz mit Techniken wie neuronalen Netzen und Deep Learning ermöglicht komplexe Analysen und präzise Vorhersagen. Diese Erkenntnisse unterstützen datenbasierte Entscheidungen und verbessern Geschäftsprozesse.

Publikationen

Ziekow, Holger

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005

2023

Valentin Göttisheim, Holger Ziekow, Peter Schanbacher, Oliver Taminé, Jochen Baier, Djaffar Ould-Abdeslam Exploring the Potential of Synthetic Data for Bike Path Surface Classification using Diffusion Models
Holger Ziekow, Norbert Marschner, Dunja Klein, Benjamin Kasenda, Nina Haug Identification of Factors Guiding Treatment Decision in Oncology by Rapid Data Insights Using AI and XAI — a Pilot Study on Real-World Data
Holger Ziekow, Peter Schanbacher XAI for Semantic Dependency : How to understand the impact of higher-level concepts on AI results

2022

Alexander Gerling, Holger Ziekow, Andreas Hess, Ulf Schreier, Christian Seiffer, Djaffar Ould-Abdeslam Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Alexander Gerling, Oliver Kamper, Christian Seiffer, Holger Ziekow, Ulf Schreier, Andreas Hess, Djaffar Ould-Abdeslam Results from using an Automl Tool for Error Analysis in Manufacturing
Valentin Göttisheim, Holger Ziekow, Ulf Schreier, Alexander Gerling Shapley Values based Regional Feature Importance Measures Driving Error Analysis in Manufacturing
Holger Ziekow, Norbert Marschner, Dunja Klein, Benjamin Kasenda, Nina Haug Technical report: Identification of factors guiding treatment decision in oncology by rapid data insights using AI and xAI - a pilot study on real-world data

2021

Christian Seiffer, Alexander Gerling, Ulf Schreier, Holger Ziekow A Reference Process and Domain Model for Machine Learning Based Production Fault Analysis
Christian Seiffer, Holger Ziekow, Ulf Schreier, Alexander Gerling Detection of Concept Drift in Manufacturing Data with SHAP Values to Improve Error Prediction
Alexander Gerling, Holger Ziekow, Ulf Schreier, Christian Seiffer, Andreas Hess, Djaffar Ould-Abdeslam Evaluation of Filter Methods for Feature Selection by Using Real Manufacturing Data
Alexander Gerling, Christian Seiffer, Holger Ziekow, Ulf Schreier, Andreas Hess, Djaffar Ould-Abdeslam Evaluation of Visualization Concepts for Explainable Machine Learning Methods in the Context of Manufacturing
Holger Ziekow, Ulf Schreier, Alexander Gerling, Alaa Saleh Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance Measures that Reveal Insights on Errors

2020

Alexander Gerling, Ulf Schreier, Andreas Hess, Alaa Saleh, Holger Ziekow, Djaffar Ould-Abdeslam A Reference Process Model for Machine Learning Aided Production Quality Management
Yannick Wilhelm, Ulf Schreier, Peter Reimann, Bernhard Mitschang, Holger Ziekow Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture
Christian Seiffer, Ulf Schreier, Holger Ziekow, Alexander Gerling KI für die Produktionsqualität
Alexander Gerling, Alaa Saleh, Ulf Schreier, Holger Ziekow Supporting Quality Assessment in Manufacturing by Machine Learning : First Results of PREFERML Project

2019

Pnina Soffer, Annika Hinze, Agnes Koschmider, Holger Ziekow, Claudio Di Ciccio, Boris Koldehofe, Oliver Kopp, Arno Jacobsen, Jan Sürmeli, Wei Song From event streams to process models and back: Challenges and opportunities
Holger Ziekow, Annika Hinze, Judy Bowen Managing Application-level QoS for IoT Stream Queries in Hazardous Outdoor Environments
Holger Ziekow, Ulf Schreier, Alaa Saleh, Christof Rudolph, Katharina Ketterer, Daniel Grozinger, Alexander Gerling Proactive Error Prevention in Manufacturing Based on an Adaptable Machine Learning Environment
Holger Ziekow, Ulf Schreier, Alexander Gerling, Alaa Saleh Technical Report: Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance measures that reveal insights on errors
Oleh Bodunov, Vincenzo Gulisano, Hannaneh Najdataei, Zbigniew Jerzak, Andre Martin, Pavel Smirnov, Martin Strohbach, Holger Ziekow The DEBS 2019 Grand Challenge

2018

Christoph Doblander, Martin Strohbach, Holger Ziekow, Hans-Arno Jacobsen Poster Abstract: Real-time load prediction with high velocity smart home data stream
Michael Klafft, Holger Ziekow Requirements Engineering for and assessment of a VR-based training application for small and medium-sized disaster management agencies
Marianne Andres, Kay-Uwe Zimmermann, Holger Ziekow Test-Setup zur Beobachtung und Aufzeichnung von VR-Usability-Tests
Vincenzo Gulisano, Zbigniew Jerzak, Pavel Smirnov, Martin Strohbach, Holger Ziekow, Dimitris Zissis The DEBS 2018 Grand Challenge
Marianne Andres, Holger Ziekow, Kay-Uwe Zimmermann, Selina Campinar Visualizing Business Process Models on Virtual Reality Screens

2017

Manuel Fritz, Simon Albrecht, Holger Ziekow, Jens Strüker Benchmarking Big Data Technologies for Energy Procurement Efficiency
Monika Frey-Luxemburger, Manuel Fritz, Holger Ziekow Energieinformatik mit Big Data Technologien
Alexander Bauer, Holger Ziekow Method of correlating time-series data with event data and system thereof
Holger Ziekow Processing event data streams to recognize event patterns, with conditional query instance shifting for load balancing
Simon Albrecht, Manuel Fritz, Jens Strüker, Holger Ziekow Targeting customers for an optimized energy procurement
Vincenzo Gulisano, Zbigniew Jerzak, Roman Katerinenko, Martin Strohbach, Holger Ziekow The DEBS 2017 Grand Challenge
Michael Klafft, Holger Ziekow Use Cases for Virtual Reality Applications in Emergency Operation Centers (EOC)

2016

Panayotis Kikiras, Holger Ziekow Consumption estimation system and method thereof
Alessandro Leonardi, Holger Ziekow, Martin Strohbach, Panayotis Kikiras Dealing with Data Quality in Smart Home Environments — Lessons Learned from a Smart Grid Pilot
Vincenzo Gulisano, Zbigniew Jerzak, Spyros Voulgaris, Holger Ziekow The DEBS 2016 Grand Challenge
Marc-David Hausmann, Holger Ziekow The Potential of Household Specific Feature Selection for Analysing Smart Home Time-Series Data

2015

Tomi Hasan, Panayotis Kikiras, Alessandro Leonardi, Holger Ziekow, Jörg Daubert Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot
Tomi Hasan, Panayotis Kikiras, Alessandro Leonardi, Holger Ziekow, Jörg Daubert Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot
Holger Ziekow Maintaining background knowledge in complex event processing
Martin Berchtold, Holger Ziekow, Ulf Blanke, Tim van Kasternen, Alessandro Leonardi, Jelena Mirkovic, Maximilian Walther System and method for registering sensors used in monitoring-systems
Zbigniew Jerzak, Holger Ziekow The DEBS 2015 Grand Challenge
Martin Strohbach, Holger Ziekow, Vangelis Gazis, Navot Akiva Towards a Big Data Analytics Framework for IoT and Smart City Applications

2014

Alessandro Leonardi, Holger Ziekow, Dmitry Konchalenkov, Anna Rogozina Detecting Smart Plug Configuration Changes in Smart Homes
Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath, Hartmut Schmeck, Christof Weinhardt, Daniel Pathmaperuma, Hans-Jürgen Appelrath, Michael Sonnenschein, Sebastian Lehnhoff, Oliver Kramer, Thorsten Staake, Elgar Fleisch, Dirk Neumann, Jens Strüker, Koray Erek, Rüdiger Zarnekow, Holger Ziekow, Jörg Lässig Energieinformatik
Matthias Weidlich, Holger Ziekow, Avigdor Gal, Jan Mendling, Mathias Weske Optimizing Event Pattern Matching Using Business Process Models
Zbigniew Jerzak, Holger Ziekow The DEBS 2014 Grand Challenge

2013

Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath, Hartmut Schmeck, Christof Weinhardt, Daniel Pathmaperuma, Hans-Jürgen Appelrath, Michael Sonnenschein, Sebastian Lehnhoff, Oliver Kramer, Thorsten Staake, Elgar Fleisch, Dirk Neumann, Jens Strüker, Koray Erek, Rüdiger Zarnekow, Holger Ziekow, Jörg Lässig Energy Informatics
Holger Ziekow, Christoph Doblander, Christoph Goebel, Hans-Arno Jacobsen Forecasting household electricity demand with complex event processing: insights from a prototypical solution
C. Busemann, Vangelis Gazis, R. Gold, Panayotis Kikiras, Alessandro Leonardi, J. Mirkovic, Maximilian Walther, Holger Ziekow Integrating Sensor Networks for Energy Monitoring with Service-Oriented Architectures
Christopher Mutschler, Holger Ziekow, Zbigniew Jerzak The DEBS 2013 Grand Challenge

2012

C. Busemann, Vangelis Gazis, R. Gold, Panayotis Kikiras, A. Kovacevic, Alessandro Leonardi, J. Mirkovic, Maximilian Walther, Holger Ziekow Enabling the usage of sensor networks with service-oriented architectures
Christof Bornhoevd, Artin Avanes, Holger Ziekow, Brian S. Mo, Matthias M. Wiemann Hierarchical multi-tiered mapping and monitoring architecture for service-to-device re-mapping for smart items
Agnes Voisard, Holger Ziekow Modeling trade-offs in the design of sensor-based event processing infrastructures

2011

Steffen Kunz, Benjamin Fabian, Holger Ziekow, Dirk Bade From Smart Objects to Smarter Workflows - An Architectural Approach
Holger Ziekow, Jens Strüker Inter-organizational Integration of Smart Objects: White Spots in the Solution Landscape
Sergei Evdokimov, , Benjamin Fabian, , Oliver Günther, , Lenka Ivantysynova, , Holger Ziekow RFID and the Internet of Things: Technology, Applications, and Security Challenges

2010

Holger Ziekow, Lenka Ivantysynova, Oliver Günther Architectural Patterns for RFID Applications in Manufacturing
Christof Bornhoevd, Artin Avanes, Holger Ziekow Composition model and composition validation algorithm for ubiquitous computing applications
Agnes Voisard, Holger Ziekow Designing Sensor-Based Event Processing Infrastructures
Agnes Voisard, Holger Ziekow Mātārere: A Layered Framework for Specifying Event-Based Systems
Matthias Weidlich, Holger Ziekow, Jan Mendling Optimising complex event queries over business processes using behavioural profiles
Holger Ziekow, Lenka Ivantysynova, Oliver Günther RFID Data Cleaning for Shop Floor Applications
Holger Ziekow, Benjamin Fabian, Cristian Müller, Oliver Günther RFID in the Cloud: A Service for High-Speed Data Access in Distributed Value Chains
Holger Ziekow, Oliver Günther Sharing RFID and complex event data among organizations

2009

Holger Ziekow Exploiting Process Knowledge for Event Processing in Distributed Business Applications
Holger Ziekow, Benjamin Fabian, Cristian Müller High-Speed Access to RFID Data: Meeting Real-Time Requirements in Distributed Value Chains
Oliver Günther, Lenka Ivantysynova, Jochen Rode, Holger Ziekow IT Infrastructures in Manufacturing: Insights from Seven Case Studies
Lenka Ivantysynova, Michael Klafft, Holger Ziekow, Oliver Günther, Seckin Kara RFID in Manufacturing: The Investment Decision
Holger Ziekow RFID integration into enterprise software environments : a technical and economical analysis with use cases from manufacturing

2008

Holger Ziekow, Lenka Ivantysynova A probabilistic approach for cleaning RFID data
Lenka Ivantysynova, Holger Ziekow Design Guidelines for RFID-Based Applications in Manufacturing
Lenka Ivantysynova, Holger Ziekow Lessons Learned
Lenka Ivantysynova, Holger Ziekow RFID in Manufacturing: From Shop Floor to Top Floor
Lenka Ivantysynova, Holger Ziekow Six Case Studies

2007

Lenka Ivantysynova, Holger Ziekow, Oliver Günther A guide to Assess Costs and Benefits for RFID Investments in Manufacturing
Melanie Hartmann, Holger Ziekow, Max Mühlhäuser Context Aware Routing in Sensor Networks
Holger Ziekow In-Network Event Processing in a Peer to Peer Broker Network for the Internet of Things
Lenka Ivantysynova, Holger Ziekow RFID in der Produktion: Eine Fallstudie aus der Airbagindustrie
Benjamin Fabian, Oliver Günther, Lenka Ivantysynova, Sarah Spiekermann, Holger Ziekow Sicherer Informationsaustausch im Internet der Dinge

2006

Holger Ziekow, Artin Avanes, Christof Bornhoevd Service Composition and Deployment for a Smart Items Infrastructure
Holger Ziekow, Lenka Ivantysynova Stream Processing in Networks of Smart Devices
Sarah Spiekermann, Holger Ziekow Technische Analyse RFID-bezogener Angstszenarien

2005

Sarah Spiekermann, Holger Ziekow RFID: A 7-Point Plan to Ensure Privacy
Christof Bornhoevd, Artin Avanes, Holger Ziekow Service-to-device mapping for smart items
Christof Bornhoevd, Artin Avanes, Holger Ziekow, Zoltan Nochta, Uwe Kubach, Patrik Spiess, Luciana Moreira Sa de Souza, Stephan Haller Service-to-device re-mapping for smart items