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» Mining Frequent Itemsets Using Genetic Algorithm
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DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
15 years 3 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi
WISE
2006
Springer
15 years 3 months ago
PrefixTreeESpan: A Pattern Growth Algorithm for Mining Embedded Subtrees
Frequent embedded subtree pattern mining is an important data mining problem with broad applications. In this paper, we propose a novel embedded subtree mining algorithm, called Pr...
Lei Zou, Yansheng Lu, Huaming Zhang, Rong Hu
APWEB
2005
Springer
15 years 3 months ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...
SAC
2004
ACM
15 years 3 months ago
Frequent free tree discovery in graph data
In recent years, researchers in graph mining have been exploring linear paths as well as subgraphs as pattern languages. In this paper, we are investigating the middle ground betw...
Ulrich Rückert, Stefan Kramer
KDD
1998
ACM
228views Data Mining» more  KDD 1998»
15 years 2 months ago
Direct Marketing Response Models Using Genetic Algorithms
Direct marketing response models seek to identify individuals most likely to respond to marketing solicitations. Such models are commonly evaluatedon classification accuracyand so...
Siddhartha Bhattacharyya