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» Incompleteness in Data Mining
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AI
2003
Springer
15 years 11 months ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
JIIS
2006
124views more  JIIS 2006»
15 years 6 months ago
An efficient approach to mining indirect associations
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
IFIP12
2008
15 years 8 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
PODS
2011
ACM
201views Database» more  PODS 2011»
14 years 9 months ago
Data exchange beyond complete data
In the traditional data exchange setting, source instances are restricted to be complete in the sense that every fact is either true or false in these instances. Although natural ...
Marcelo Arenas, Jorge Pérez, Juan L. Reutte...
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
16 years 7 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal