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» Scalable Parallel Data Mining for Association Rules
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PPSN
2004
Springer
14 years 2 months ago
Web Page Classification with an Ant Colony Algorithm
This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective th...
Nicholas Holden, Alex Alves Freitas
HPCC
2007
Springer
14 years 3 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
AI
2004
Springer
14 years 2 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...
SGAI
2009
Springer
14 years 3 months ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
RCIS
2010
13 years 7 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu