Data mining is the process of analyzing large
collections of data and searching for underlining patterns that my not
be immediately noticeable. Most often the collection of data is in the
form of a relational database and the pattern is a correlation between
unique elements of the database.
N-Body Cluster Formation Simulations
N-body simulations are used when studying the
interaction between the element of a star cluster over time. These
simulations map the interaction between every element of the field
every other element over time. Such simulations are extremely CPU
intensive. The simulation of a model with 100,000 elements would require
roughly 10 billion billion simple arithmetic calculations. For the
worlds fastest computer at a petaflop this calculation would take over
115 days of processing time.
Data Mining on relational databases is a field of growing importance
and scope, however much of the field still centers around highly
mathematical and analytical analysis. My proposal is for the use of
star cluster formation computer model techniques to be for the creation
of visual data mining tools.
Similar element identifiers could be modeled as relative vector
forces. As can be seen in the image above the vector forces from all
the other elements on a single element could be summed to a single
force vector which would determine the movement of that vector. Uniform
distribution of elements would transform over time to sets of clusters.
These clusters would hint at underline connections between the elements
of the data set.
# ^ Heggie, D. C.; M. Giersz, R. Spurzem, K. Takahashi (1998). Johannes Andersen "Dynamical Simulations: Methods and Comparisons". Highlights of Astronomy Vol. 11A, as presented at the Joint Discussion 14 of the XXIIIrd General Assembly of the IAU, 1997, 591+, Kluwer Academic Publishers. Retrieved on 2006-05-28.