Data mining in collaborative virtual environments: an integrating framework.
Simeon J. Simoff, Robert P. Biuk‐Aghai · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · 2001
Collaborative virtual environments are becoming an intrinsic part of professional practices.In addition to providing communication and collaboration means, they have the potential to collect tremendous amounts of data about collaborative activities.The aim of this research is to utilise this data effectively, extract meaningful insights out of it and employ the new, semantically structured knowledge back in the environment.This paper presents a framework for integrating data mining and knowledge discovery technologies starting from the early design stage of the virtual environment.This KDD † framework includes four major groups of components, which begin with the selection of the data that should be recorded and end with a knowledge representation for incorporating dicovered information back into the system and improving the structure of the virtual space and the set of feasible actions that can be performed there.The paper contrasts the earlier ad hoc techniques to the proposed systematic approach.The applicability of the framework has been tested and demonstrated on a real environment.