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» Itemset Materializing for Fast Mining of Association Rules
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APWEB
2005
Springer
15 years 11 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,...
CIKM
2006
Springer
15 years 9 months ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
15 years 11 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
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
15 years 11 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 6 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici