Research Paper (postgraduate) from the year 2008 in the subject Computer
Science - Applied, grade: 4.0, University of Louisville (Speed College
of Engineering), language: English, abstract: We give an overview of our
experience in utilizing several open source packages and composing them
into sophisticated applications to solve several challenging problems as
part of some of the research projects at the Knowledge Discovery & Web
Mining lab at the Universe of Louisville. The projects have a common
theme of knowledge discovery, however their application domains span a
variety of areas. These areas range from mining Web data streams to
mining Astronomy related image data, as well as Web information
retrieval in social multimedia websites and e-learning platforms. As is
already known, a significant proportion of the effort in any real life
project involving knowledge discovery in data (KDD) is devoted to the
early and final stages of KDD, i.e., the data collection and
preprocessing, and the visualization of the results. Given the nature of
the data in our projects, we expose our experience in handling text data
and image data as part of the KDD process. In addition to the open
source packages that we used, we will briefly present some of the
stand-alone software that we developed in the lab, in particular a suite
of software for clustering and for stream data mining.
