Data mining – finding relevant information in the era of big data
We help our customers to process and analyse vast amounts of data, to identify valuable information relevant to their business.
With VTT's tailored solutions, we can overcome challenges such as unstructured data, real-time data flows and big data management. We analyse and refine real world data, selecting applicable methods case by case.
VTT implements complex systems that combine a wide variety of data mining methods and knowledge representation techniques. Together with our customers, we strive for innovations and technical breakthroughs.
We have successfully gathered and analysed real-time data from, for example, road vehicles. The on-line road slipperiness analysis has resulted in increased awareness of the road conditions, thus increasing the safety of the road traffic.
Meeting various data mining challenges
Our expertise has been applied to areas such as transport, telecommunications, fault diagnostics and analytical customer relationship management. Each application area has its own challenges, methodologies and tools. We are ready to meet these challenges by working in close collaboration with our customers using the latest technology available.
Data mining faces various challenges, contributing to the big data era. Intelligent integration of data from all relevant sources is vital, as are storage and representation of the voluminous knowledge from the mining process. We work to find the best technical solutions, whether it is a traditional method using well-proven technologies or an emerging technology when the traditional solution is no longer sufficient.
We work in publicly funded projects in the EU and nationally, as well as in customer-funded projects. Examples include a major role in the EU Commission-funded project ICEMAR and the EU FP7-funded project PolarIce, both related to the sea traffic in the Arctic region.
Icebreaking on the Baltic Sea.