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AUSDM
2007
Springer
64views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Reflection on Development and Delivery of a Data Mining Unit
Educators developing data mining courses face a difficult task of designing curricula that are adaptable, have solid foundations, and are tailored to students from different acade...
Bozena Stewart
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
14 years 17 days ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood
AUSDM
2007
Springer
93views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success
This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics proce...
Inna Kolyshkina, Simeon J. Simoff
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
14 years 17 days ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen