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Analyzing clickstreams using subsessions
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Understanding human behaviour in electronic spaces is of central importance in modern business intelligence and web behaviour mining. We present a novel analytic framework that enables identification of the significant navigational elements, observation of higher order behavioural abstractions, and investigation of usability attributes. A case study of knowledge worker intranet browsing behaviour revealed elemental and complex browsing pattern formation. Frequent patterns were relatively easily executable. Knowledge workers accomplished browsing goals via few subtasks, had focused targets, and accessed narrow range of services and resources. A diminutive exploratory behaviour and significant underutilisation of available resources were exhibited.