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I3
2007
13 years 9 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
APCCM
2006
13 years 9 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
ECIS
2004
13 years 9 months ago
Measuring enterprise systems success: the importance of a multiple stakeholder perspective
: Organisations invest enormous amount of resources in acquiring Enterprise Systems (ES), presumably expecting positive impacts to the organisation and its functions. Despite the o...
Darshana Sedera, Guy G. Gable, Taizan Chan
FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
ECIS
2000
13 years 9 months ago
Information Systems Research Education in Australasia: Continuing the Past or Gearing Up for the Future
As the information systems discipline grows, so do the number of programs offering graduate research degrees (GRD). In Australasia these include one year post-graduate (honors) pr...
Beverley G. Hope, M. Fergusson