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Big Data
- /en/research-topics/data-science-artificial-intelligence/data-science/big-data
Big Data Big Data Big data refers to extremely large sets of structured and unstructured data that cannot be handled with traditional methods. Artificial Intelligence (AI) and Machine Learning (ML) ap [...] end-to-end data analysis process, turning big data into better data for AI/ML applications. Big data pre-processing, filtering of noise, identification and removal of bias, as well as data structuring [...] your data. We also design and apply big data frameworks enabling the ingestion, processing, and analysis of your big data through AI/ML, both for offline massive datasets as well as fast online data streams
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Big-DAMA
- /en/research-topics/data-science-artificial-intelligence/projects/big-dama
historical data. The Big-DAMA project conceived novel scalable techniques and big-data frameworks capable to analyze both online network traffic data streams and offline massive traffic datasets. Big-DAMA explored [...] Big-DAMA Big-DAMA Big Data Analytics for network traffic Monitoring and Analysis The complexity of the Internet has dramatically increased in the last few years, making it more important and challenging [...] scalable online and offline data mining and machine learning-based techniques to monitor and characterize extremely large network traffic datasets. The project pushed forward big-data analysis technologies by
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Norbert Brändle represented the AIT in the OECD roundtable on Big Data in transport
The “Use of Big Data in Transport Models Roundtable” of the OECD International Transport Forum (ITF) determined the most relevant use cases for Big Data in the modelling of transport demand and transport [...] (US Department of Transport, Bureau of Transportation Statistics) and explored the possibility of Big Data to complement or replace traditional travel surveys, reflecting how many trips people make, to which [...] be published by the ITF End of January 2021. More information on https://www.itf-oecd.org/big-data-transport-models-roundtable
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ADV Convention - Big Data 2017
Analytics: Virtual Currencies as Big Data". Venue EURO PLAZA Gebäude G Am Euro Platz 2 1120 Vienna Austria More information: https://www.adv.at/Events/Event-Items/ADV-Tagung-Big-Data-2017 [Translate to English:] [...] Huge amounts of data - and its benefits? The use of Blockchain as a database opens up new possibilities. At this year's Big Data event of the ADV on 21.09.2017 we will take a closer look at this exciting
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Big Data & Industrie 4.0
Verknüpfung von Big Data und Industrie 4.0 steht im Fokus dieser Tagung, in deren Rahmen unter anderem AIT-Expertin Elke Mattheiss zum Thema „Der Faktor Mensch im Zeitalter von Big Data und Industrie 4 [...] Diese werden entlang des gesamten Produktlebenszyklus gesammelt. In diesem Kontext spricht man von Big Data. Wie sieht nun der Konnex zu Industrie 4.0 aus? Ganz einfach: alle Daten, die in einem Produkti [...] Austrian Institute of Technology GmbH, Center for Technology Experience 14.15Die Wahl des richtigen Big Data Analyse Frameworks: Ein Vergleich von Tools im Bereich Predictive MaintenanceRudolf Plettenberg
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Industrial Data Science
- /en/research-topics/datascienceartificialintelligence/industrialdatascience
DSAI’s Industrial Data Science (IDS) portfolio can help firms make the most of their data, to conquer the digital transformation challenges. DSAI data analytics approaches span the entire data science lifecycle [...] analytics technology and big-data frameworks. Projects ABC BigDama Blockchain Grid COGNITUS Data Market Austria DeepRUL FlexProd × Kontakt Formular Pflichtfelder sind mit einem * markiert. Name * E-Mail [...] Industrial Data Science Industrial Data Science DSAI investigates and applies data analytics approaches to gain new insights in to industrial processes The digital transformation provides industries with
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Network Analysis
- /en/research-topics/data-science-artificial-intelligence/solutions-services/network-analysis
complex systems, including data networks but not limited to that. By enabling the analysis of highly-dimensional data with both real-time and large-scale requirements, AI and big data principles and platforms [...] design scalable online and offline data mining and machine learning-based techniques and platforms to monitor and characterize extremely large volumes of network traffic data and carry out NTMA. Network Quality [...] services from the standpoint of the end user or service customer. AIT’s AI-based Internet-QoE relies on big data analytics to generate useful user-centric insights from large-scale network measurements, even under
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Sensing Travel Behavior
- /en/solutions/sensing-travel-behavior
massive data it generates presents new opportunities to collect and analyse mobility data of people and goods. The AIT combines solid and profound know-how in machine learning, geo-spatial big data analytics [...] for tracking movement data Smart Survey Mobility surveys made easy with smartphones Autonomous Ticketing Enable your mobile app for next generation ticketing Large-Scale Mobility Data Analytics
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Predictive Healthcare Information Systems
- /en/solutions/predictive-healthcare-information-systems
FROM BIG DATA TO DECISIONS We support healthcare professionals in deriving information from the complex and rapidly growing amount of digital data in health and care systems (Big Health and Care Data). With [...] Record Linking", compatible with the General Data Protection Regulation IT solutions for the use of healthcare data for research purposes Predictive analytics - data-driven decision support for healthcare providers [...] care data to support healthcare professionals in their decision-making processes. PATH With our Predictive Analysis Toolset for Healthcare (PATH), we support healthcare providers in developing data-driven
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AIT Lecture Series: Mobility Systems
Mobility Data Analytics, included an invited course during 2018 ACM Europe Summer School on Data Science. He has participated in a number of research projects related to Data Science and Big Data, with EU [...] Mobility Data Analytics (MDA) are overviewed, including data acquisition, processing, and mining aspects. Current trends in MDA, such as semantic / holistic trajectory modelling and big mobility data management [...] Professor of Data Science at the Department of Informatics, University of Piraeus, Greece. He serves or has served at the editorial boards of ACM Computing Surveys (2016-) and the Int'l Journal on Data Warehousing
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Projects
- /en/research-topics/data-science-artificial-intelligence/data-science/industrial-data-science/projects
Projects Projects INTERACTIVE read more COGNITUS read more Data Market Austria read more Big-DAMA read more
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IWCEE 2018 – machine learning, artificial intelligence and big data
scientific workshop addresses data science, statistics, computer science and artificial intelligence methods and opens corresponding perspectives for research and society. How can big data and machine learning [...] learning help to address societal big challenges? How can we improve our capacity to extract knowledge form information? What specific methods are suitable for addressing thought-provoking research questions in
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Geo-spatial big data analytics
- /en/research-topics/mobility-data-collection-and-analysis/geo-spatial-big-data-analytics
Geo-spatial big data analytics Geo-spatial big data analytics Developing technically sound and efficient solutions for mobility data collection and analysis from machine-generated sensor data poses multiple [...] tion network datasets, and intuitive visualization of both raw data and analyzed mobility data. AIT has profound competencies in big data and geo-spatial database management, statistical learning, and [...] Patterns in Cell Phone Data "; Transportation, 42 (2015), 4; 597 - 623. M. Ulm, P. Widhalm, N. Brändle: " Characterization of mobile phone localization errors with OpenCellID data "; in:" 4th International
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Travel Demand Measurement from Big Data Resources
- /en/research-topics/mobility-data-collection-and-analysis/travel-demand-measurement-from-big-data-resources
Travel Demand Measurement from Big Data Resources Travel Demand Measurement from Big Data Resources Mobility of people is the result of a travel demand for activities such as working, shopping, education [...] develops novel techniques for exploiting big data resources such as sensor data of smartphones, communication signals between smartphones and cell towers and other data resources for obtaining timely and accurate [...] privacy-aware techniques for measuring travel demand from large scale sensor data. Automatic collection and analysis of data about people’s mobility behaviour is important for preparing and assessing urban
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Data Science & Artificial Intelligence
- /en/research-topics/data-science-artificial-intelligence
Natural Language Processing Graph Analysis Big Data High Performance Computing Industrial Data Science Data Science for Public Security Cultural Data Science Projekte Data Science & Artificial Intelligence Projekte [...] provides expertise for each step in a data science workflow covering the key phases data aggregation and normalization, data analytics, data visualization, as well as data publication and preservation. All [...] provides data science consulting and solutions for making informed decisions based on large, heterogeneous, and real-time data under strict conditions of IT security and data protection. Data Science DSAI
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MARNG
- /en/research-topics/mobility-data-collection-and-analysis/projects/marng
concepts that will offer interoperability, safety, security, and performance. New data analysis methods, derived from the big data domain, will drive mission critical decision support for the maritime domain [...] . Due to coastal wide sensor networks the data load has increased exponentially and current system architectures are no longer sufficient to process that data efficiently. MARNG researches new concepts [...] (2020). The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. International Journal of Geographical Information Science, 34(12), 2517-2540. doi:10
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Mode
- /en/solutions/sensing-travel-behavior/mode
reliable recognition of the means of transport used, and travelled routes using smartphones. MODE: big data, big advantage Reliable identification of the used means of transport Easy integration in existing [...] applications Privacy and data protection are an inherent part of the software design concept Low impact on battery MODE, applied Next generation mobility surveys – superior data quality Multimodal e-ticketing [...] analysis The collected mobility data is sent to the AIT server for analysis and storage and made available for further processing via standardised interfaces. Privacy and data security have the highest priority
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On the way to a new data universe
of the past two to three decades that we are all networked as humans and can send data back and forth. The next big development is the networking of machines," explains Helmut Leopold, who as chairman [...] Safety & Security at AIT . But the enormous flood of data first needs clear rules of play. The completely arbitrary control of people over their data, as happens in China, and the power-politically dangerous [...] a deterrent effect. Gaia-X should largely reduce previous dependencies. A desire is expressed for data exchange to take place while respecting the European values of democracies.... Read the full article
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High Performance Computing
- /en/research-topics/data-science-artificial-intelligence/data-science/high-performance-computing
Computing High Performance Computing The term "Big Data" may have fallen out of fashion, but the issues it raises continue to challenge research and development. Data in any form and from any source continues [...] the perception of its value increases. Data science and artificial intelligence projects are now faced with huge amounts of data, which presents a challenge for data management and processing within a given
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Experience Measurement
- /en/research-topics/experience-measurement
constraints. Data driven (in sync with the current developments of big data research) insights into actual use, mapped to well understood quality factors (experience factors), is a big gain towards i [...] the last years. In this respect, the ability to acquire, process and understand experience-related data in a reliable, valid and objective fashion has become prerequisite for benchmarking and improving
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