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» Phenomenal Data Mining: From Data to Phenomena
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AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
15 years 5 months 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
107
Voted
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
15 years 5 months ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
15 years 5 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
111
Voted
CINQ
2004
Springer
133views Database» more  CINQ 2004»
15 years 5 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
108
Voted
AUSDM
2006
Springer
91views Data Mining» more  AUSDM 2006»
15 years 5 months ago
Towards Automated Record Linkage
The field of Record Linkage is concerned with identifying records from one or more datasets which refer to the same underlying entities. Where entity-unique identifiers are not av...
Karl Goiser, Peter Christen