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CORR
2010
Springer
151views Education» more  CORR 2010»
15 years 3 months ago
A Comprehensive Survey of Data Mining-based Fraud Detection Research
This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines t...
Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles,...
CEC
2009
IEEE
15 years 12 months ago
Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach
— The mining of meaningful shapes of time series is done widely in order to find shapes that can be used, for example, in classification problems or in summarizing signals. Nor...
Pekka Siirtola, Perttu Laurinen, Juha Röning
ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
15 years 10 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...
ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
15 years 10 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
16 years 6 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal