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» Evaluation of Sampling for Data Mining of Association Rules
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DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 2 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
85
Voted
AI
2004
Springer
15 years 3 months ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...
190
Voted
ICDE
1995
IEEE
139views Database» more  ICDE 1995»
15 years 11 months ago
Set-Oriented Mining for Association Rules in Relational Databases
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less escient than special-purpose...
Maurice A. W. Houtsma, Arun N. Swami
87
Voted
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
14 years 11 months ago
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
113
Voted
IWPC
2003
IEEE
15 years 3 months ago
Facilitating Program Comprehension by Mining Association Rules from Source Code
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Christos Tjortjis, Loukas Sinos, Paul J. Layzell