The study of past working history visualization for supporting trial and error approach in data mining

Abstract

Scientists in the data mining field are constantly faced with the challenge of finding useful information from a huge amount of information. We have to analyze the data until we can get the appropriate information. We have to select one part of the data, compare them against each other, or arrange them in certain order. This approach is also known the trial and error approach. A trial and error approach requires the users' judgment, for example, to correctly set certain parameters; it is an approach that place importance not only to the end result, but also to the process in achieving the end result. In this paper, we propose visualization methods to visualize past working history for supporting trial and error approach in data mining. We use our methods to visualize web browsing logs and data browsing logs in genome science fields. © Springer-Verlag Berlin Heidelberg 2007.