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KDD
2002
ACM
128views Data Mining» more  KDD 2002»
16 years 4 months ago
Privacy preserving mining of association rules
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
Alexandre V. Evfimievski, Ramakrishnan Srikant, Ra...
IFSA
2007
Springer
133views Fuzzy Logic» more  IFSA 2007»
15 years 10 months ago
Fuzzy Tree Mining: Go Soft on Your Nodes
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
Federico Del Razo López, Anne Laurent, Pasc...
ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
15 years 10 months ago
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
Recently, there has been considerable interest in computing strongly correlated pairs in large databases. Most previous studies require the specification of a minimum correlation...
Hui Xiong, Mark Brodie, Sheng Ma
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
15 years 8 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
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 months ago
Clustering by weighted cuts in directed graphs
In this paper we formulate spectral clustering in directed graphs as an optimization problem, the objective being a weighted cut in the directed graph. This objective extends seve...
Marina Meila, William Pentney