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151
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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 10 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
165
Voted
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
15 years 10 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
155
Voted
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
15 years 10 months ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu
CIKM
1999
Springer
15 years 9 months ago
Mining Inter-Transaction Associations with Templates
Multi-dimensional, inter-transaction association rules extend the traditional association rules to describe more general associations among items with multiple properties cross tr...
Ling Feng, Hongjun Lu, Jeffrey Xu Yu, Jiawei Han
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 9 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...