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» Evaluation of Sampling for Data Mining of Association Rules
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191
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VLDB
2005
ACM
146views Database» more  VLDB 2005»
16 years 26 days ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
141
Voted
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 9 days ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
ICDE
2006
IEEE
192views Database» more  ICDE 2006»
15 years 6 months ago
Mining Executive Compensation Data from SEC Filings
In recent years, corporate governance has become a more and more important concern in investment decision-making. As one of the most important factors in evaluating corporate gove...
Chengmin Ding, Ping Chen
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 6 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
IDA
2000
Springer
15 years 14 days ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets