Big Data

Big Data Research team 4TU.AMI
4TU Delft
4TU Eindhoven
4TU Twente
4TU Wageningen

Big Data

Big Data promises to revolutionize our lives and our industry. However, a major challenge is extracting sensible information from massive data sets, using current hardware, software and, last but not least, mathematical methods.

Tackle big data problems

There is a lot of attention to big data from computer science. The focus is shifting to mathematical challenges now. We combine strengths in statistics and numerical analysis to tackle problems in big data. We make algorithms of complex networks. Examples are social networks such as Facebook and LinkedIn. As mathematicians in data science we analyze these networks and their properties and structures.

Members

  • Prof.dr. N.V. (Nelly) Litvak - Twente - coordinator
  • Dr. A (Alessandro) Di Bucchianico - Eindhoven
  • Dr.ir. F.H. (Frank) van der Meulen - Delft
  • Dr. L. (Laura) Iapichino - Eindhoven
  • Dr. H.R.M.J. (Ron) Wehrens - Wageningen

Big Data

Big Data promises to revolutionize our lives and our industry. However, a major challenge is extracting sensible information from massive data sets, using current hardware, software and, last but not least, mathematical methods.

Tackle big data problems

There is a lot of attention to big data from computer science. The focus is shifting to mathematical challenges now. We combine strengths in statistics and numerical analysis to tackle problems in big data. We make algorithms of complex networks. Examples are social networks such as Facebook and LinkedIn. As mathematicians in data science we analyze these networks and their properties and structures.

Members

  • Prof.dr. N.V. (Nelly) Litvak - Twente - coordinator
  • Dr. A (Alessandro) Di Bucchianico - Eindhoven
  • Dr.ir. F.H. (Frank) van der Meulen - Delft
  • Dr. L. (Laura) Iapichino - Eindhoven
  • Dr. H.R.M.J. (Ron) Wehrens - Wageningen
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Big Data

Big Data

Big Data promises to revolutionize our lives and our industry. However, a major challenge is extracting sensible information from massive data sets, using current hardware, software and, last but not least, mathematical methods.

Tackle big data problems

There is a lot of attention to big data from computer science. The focus is shifting to mathematical challenges now. We combine strengths in statistics and numerical analysis to tackle problems in big data. We make algorithms of complex networks. Examples are social networks such as Facebook and LinkedIn. As mathematicians in data science we analyze these networks and their properties and structures.

Members

  • Prof.dr. N.V. (Nelly) Litvak - Twente - coordinator
  • Dr. A (Alessandro) Di Bucchianico - Eindhoven
  • Dr.ir. F.H. (Frank) van der Meulen - Delft
  • Dr. L. (Laura) Iapichino - Eindhoven
  • Dr. H.R.M.J. (Ron) Wehrens - Wageningen

Big Data

Big Data promises to revolutionize our lives and our industry. However, a major challenge is extracting sensible information from massive data sets, using current hardware, software and, last but not least, mathematical methods.

Tackle big data problems

There is a lot of attention to big data from computer science. The focus is shifting to mathematical challenges now. We combine strengths in statistics and numerical analysis to tackle problems in big data. We make algorithms of complex networks. Examples are social networks such as Facebook and LinkedIn. As mathematicians in data science we analyze these networks and their properties and structures.

Members

  • Prof.dr. N.V. (Nelly) Litvak - Twente - coordinator
  • Dr. A (Alessandro) Di Bucchianico - Eindhoven
  • Dr.ir. F.H. (Frank) van der Meulen - Delft
  • Dr. L. (Laura) Iapichino - Eindhoven
  • Dr. H.R.M.J. (Ron) Wehrens - Wageningen