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CORR
2010
Springer
151views Education» more  CORR 2010»
15 years 5 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,...
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
16 years 6 months ago
Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface
Matching records that refer to the same entity across databases is becoming an increasingly important part of many data mining projects, as often data from multiple sources needs ...
Peter Christen
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
CINQ
2004
Springer
119views Database» more  CINQ 2004»
15 years 11 months ago
How to Quickly Find a Witness
The subfield of itemset mining is essentially a collection of algorithms. Whenever a new type of constraint is discovered, a specialized algorithm is proposed to handle it. All o...
Daniel Kifer, Johannes Gehrke, Cristian Bucila, Wa...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 21 days ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...