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ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 5 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 8 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
WEBI
2010
Springer
13 years 5 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
KDD
1998
ACM
164views Data Mining» more  KDD 1998»
13 years 12 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Mining GPS data for extracting significant places
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...