The poverty of media richness theory: explaining people's choice of electronic mail vs. voice mail
International Journal of Human-Computer Studies
Activities and communication modes
International Journal of Human-Computer Studies
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Visualizing association rules with interactive mosaic plots
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
System and Software Requirements Engineering
System and Software Requirements Engineering
Mapping Cyberspace
Mining intrusion detection alarms for actionable knowledge
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Guiding knowledge discovery through interactive data mining
Managing data mining technologies in organizations
Geographic Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
GAM: a guidance enabled association mining environment
International Journal of Business Intelligence and Data Mining
Measurement and analysis of IP network usage and behavior
IEEE Communications Magazine
Visualization of directed associations in e-commerce transaction data
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an organisation's communications, the exploratory phase may never finish. This paper describes a methodology for exploratory data mining within an organisational communications dataset. A model of support for knowledge discovery is described in conjunction with a communications based concept hierarchy. This is then used as the basis for a set of visualisations. The intention of supporting visualisations in this way is to establish a sound set of requirements for the representation of communications data. The visualisations provide several interconnected representations of the data, as well as support query and drill-down into a dataset. It is suggested that this interaction with the dataset facilitates an appreciation of the data which precedes and shapes knowledge discovery. A communications analysis example is developed using the visualisations within the context of exploratory data mining.