Parallel data mining revisited: Better, not faster

Summary form only given. In this talk the author will discuss how parallel and/or distributed compute resources can be used differently: instead of focusing on speeding up algorithms, we propose to focus on improving accuracy. In a nutshell, the goal is to tune data mining algorithms to produce better results in the same time rather than producing similar results a lot faster. He will discuss a number of generic ways of tuning data mining algorithms and elaborate on two prominent examples in more detail. A series of examplatory experiments will be used to illustrate the effect such use of parallel resources can have.