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Core Competencies of the Studio DSc for Industry Partners

The research studio Data Science (DSc) invents systems to make data accessible, intelligible and useful. The studio applies scientifically rigorous data analytics to obtain business-relevant insights based on large amounts of heterogeneous data.

The main applied methods are: Regression, classification, prediction, artificial intelligence, information retrieval and extraction, natural language processing, big data correlations and feature reduction, neural and deep neural networks.

 

Core Competence in (Big) Data Analytics

Methodological approaches will be applied in the following areas:

• Data Management: data cleaning, pre-processing, validation and curation

• Data Integration: structured and unstructured data, multimodal data, data selection

• Data Analytics: information retrieval, data mining, semantic analysis, natural language processing, machine learning, modelling

• Data Interaction: visualisation, visual analytics, data exploration, decision support

• High-Performance Computing: scalability of developed solutions

In order to provide Data Science solutions in an optimal way, the Research Studio Data Science is building up a multi-disciplinary team consisting of researchers specialised in statistics, data management, data mining, information retrieval, machine learning, natural language processing, visual analytics and high-performance computing, along with software developers.

 

Target groups: All organisations which need more insights in data

The Data Science Research Studio will work together with and for companies and public administration to develop innovative solutions for gaining maximum value from data.

The solutions will be implemented as prototypes to enable efficient transfer to industry. Through research contracts or through licensing, data analytics solutions will be transferred to companies to be integrated into their business processes and information technology systems.

Telefon: +43(0) 662 834 602 - 0