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DPD
2002
125views more  DPD 2002»
14 years 10 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
CIKM
2009
Springer
15 years 4 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
15 years 3 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 1 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
15 years 4 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