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» A hybrid approach to mining frequent sequential patterns
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SGAI
2007
Springer
15 years 3 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
72
Voted
AAAI
2007
14 years 12 months ago
Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences
An important application area of detecting erroneous sentences is to provide feedback for writers of English as a Second Language. This problem is difficult since both erroneous ...
Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, M...
70
Voted
FLAIRS
2008
14 years 12 months ago
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction
1 In this paper, we propose a peptide folding prediction method which discovers contrast patterns to differentiate and predict peptide folding classes. A contrast pattern is defin...
Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaa...
84
Voted
JDWM
2010
139views more  JDWM 2010»
14 years 8 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...
RCIS
2010
14 years 8 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