Title :
Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams
Author :
Hart, Sol ; Yearwood, John ; Bagirov, Adil M.
Author_Institution :
Univ. of Ballarat, Ballarat
Abstract :
The relatively new field of stream mining has necessitated the development of robust drift-aware algorithms that provide accurate, real time, data handling capabilities. Tools are needed to assess and diagnose important trends and investigate drift evolution parameters. In this paper, we present two new and novel visualisation techniques, Pixie and Luna graphs, which incorporate salient group statistics coupled with intuitive visual representations of multidimensional groupings over time. Through the novel representations presented here, spatial interactions between temporal divisions can be diagnosed and overall distribution patterns identified. It provides a means of evaluating in non-constrained capacity, commonly constrained evolutionary problems.
Keywords :
data handling; data mining; data visualisation; evolutionary computation; graph theory; group theory; statistical analysis; Luna graph; Pixie graph; constrained evolutionary problems; data handling; data streams; drift-aware algorithms; multidimensional groupings; salient group statistics; spatial interactions; stream mining; visual representations; visual tools; visualisation techniques; Algorithm design and analysis; Australia; Computer displays; Computer errors; Data handling; Data mining; Information analysis; Information technology; Machine learning; Robustness;
Conference_Titel :
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-2841-4
DOI :
10.1109/ICIS.2007.194
