University of Bochum
Predictions of uprising or falling trends are helpful in different scenarios in which users have to deal with huge amount of information in a timely manner, such as during financial analysis. This temporal aspect in various cases of data analysis requires novel data mining techniques. Assuming that a given set of data, e.g. web news, contains information about a potential trend, e.g. financial crisis, it is possible to apply statistical or probabilistic methods in order to find out more information about this trend.