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KDD
1998
ACM
146views Data Mining» more  KDD 1998»
14 years 1 months ago
Mining Association Rules in Hypertext Databases
In this workweproposea generalisation of the notion of associationrule in the contextof flat transactions to that of a compositeassociation rule in the context of a structured dir...
José Borges, Mark Levene
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 10 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
ICEIS
2008
IEEE
14 years 3 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
CINQ
2004
Springer
151views Database» more  CINQ 2004»
14 years 20 days ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
PKDD
2005
Springer
155views Data Mining» more  PKDD 2005»
14 years 2 months ago
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
How can we generate realistic graphs? In addition, how can we do so with a mathematically tractable model that makes it feasible to analyze their properties rigorously? Real graphs...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...