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ICEIS
2008
IEEE
14 years 1 months ago
Internal Fraud Risk Reduction - Results of a Data Mining Case Study
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
Mieke Jans, Nadine Lybaert, Koen Vanhoof
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
13 years 5 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
IJCAI
2003
13 years 8 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 2 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu