Data Analytics

Contact: Professor Lasse Lensu

Data analytics refers generally to the processing and analysis of data with the aim to discover meaningful information for supporting, for example, process automation and decision making. Despite the increased availability of data, most of the relevant and beneficial patterns are hidden in the databases and streams. Therefore, it is necessary to develop the methods and algorithms to recognise the relevant patterns in the structured or unstructured data. The typical approaches for this processing include data preprocessing/cleansing, dimensionality reduction, statistical data analysis and knowledge discovery. In the modern society, approaching this aim is feasible due to the increased amounts of publicly accessible and undisclosed data, modern computational methods and high-performance computing.

The objective of our work is to use the state-of-the-art data analytics methods to transform the data into information and knowledge from the datasets available within selected contexts. Both quantitative and qualitative, and structured and unstructured data are explored as needed. The core techniques applied for the data analytics include but are not only limited to data anomaly detection, clustering, prediction, and classification. The methods to be applied include computational intelligence in the form of pattern recognition and machine learning, artificial neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. The initial application area is the one of power systems and industrial electronics integrating the fields of computer/data science, electrical engineering and user-centric application development.

Featured research activities

DIGI-USER - Smart Services for Digitalisation (2016-)

DIGI-USER is one of the LUT Research Platforms. The research is focused on a user-centric approach to systemic issues combines the macro-, meso- and micro-levels. The aim is to reveal problems, needs, barriers and solutions through research, and help companies (especially SMEs) to co-create digital services with users for various fields, such as energy systems and everyday living.