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» Mining Multi-Dimensional Quantitative Associations
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INAP
2001
Springer
13 years 11 months ago
Mining Multi-Dimensional Quantitative Associations
Michal Okoniewski, Lukasz Gancarz, Piotr Gawrysiak
KDD
1997
ACM
208views Data Mining» more  KDD 1997»
13 years 10 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 8 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 11 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 1 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...