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» Mining Association Rules with Item Constraints
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SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 8 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
KDD
1997
ACM
208views Data Mining» more  KDD 1997»
13 years 11 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
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
13 years 11 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
14 years 23 days ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
MLDM
2007
Springer
14 years 1 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen