DocumentCode :
1810666
Title :
Exploring Web site log data with a multi-classification interface
Author :
Sifer, Mark
Author_Institution :
Sch. of Inf. Technol., Sydney Univ., NSW, Australia
fYear :
2003
fDate :
16-18 July 2003
Firstpage :
94
Lastpage :
101
Abstract :
Many interface designs have been developed for the exploration of multidimensional data sets, many based on finding subsets by filtering attribute values independently or successively. However, many of these interfaces do not also support the use of hierarchies for selection and summarisation. We show how an interface that uses coordinated hierarchy views of data supports the exploration of such data. Our interface is demonstrated with our SGViewer tool and a Web site log dataset where visits to a Web site have been organised into time, downloads, visitor address and referrer address dimensions. A configurable nested tree visualisation is used to present each dimension hierarchy. We show how both rapid and flexible exploration of this data is supported by our interface.
Keywords :
Web sites; data visualisation; graph theory; graphical user interfaces; online front-ends; tree data structures; very large databases; SGViewer tool; Web site download dimension; Web site log data exploration; Web site referrer address dimension; Web site visitor address dimension; configurable nested tree visualisation; multiclassification interface; multidimensional data set; structured graph viewer; Australia; Data mining; Data visualization; Information filtering; Information filters; Information technology; Machine learning; Multidimensional systems; Relational databases; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2003. IV 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1988-1
Type :
conf
DOI :
10.1109/IV.2003.1217963
Filename :
1217963
Link To Document :
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