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» Evaluation of Sampling for Data Mining of Association Rules
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WAIM
2004
Springer
15 years 5 months ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
90
Voted
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
15 years 4 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
117
Voted
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
JDWM
2010
139views more  JDWM 2010»
14 years 11 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...
94
Voted
DBPL
2001
Springer
118views Database» more  DBPL 2001»
15 years 5 months ago
On Monotone Data Mining Languages
Abstract. We present a simple Data Mining Logic (DML) that can express common data mining tasks, like “Find Boolean association rules” or “Find inclusion dependencies.” At ...
Toon Calders, Jef Wijsen