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» Privacy in Data Mining Using Formal Methods
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KDD
2007
ACM
144views Data Mining» more  KDD 2007»
16 years 2 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
KAIS
2006
164views more  KAIS 2006»
15 years 2 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis
121
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ISSE
2010
15 years 25 days ago
URDAD as a semi-formal approach to analysis and design
The Use Case, Responsibility Driven Analysis and Design (URDAD) methodology is a methodology for technology neutral design generating the Platform Independent Model of the Object M...
Fritz Solms, Dawid Loubser
AI
2009
Springer
15 years 9 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
WAIM
2009
Springer
15 years 9 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...