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» Frequent Sub-graph Mining on Edge Weighted Graphs
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KDD
2004
ACM
109views Data Mining» more  KDD 2004»
14 years 6 months ago
Identifying early buyers from purchase data
Market research has shown that consumers exhibit a variety of different purchasing behaviors; specifically, some tend to purchase products earlier than other consumers. Identifyin...
Paat Rusmevichientong, Shenghuo Zhu, David Selinge...
CINQ
2004
Springer
182views Database» more  CINQ 2004»
13 years 10 months ago
Mining Constrained Graphs: The Case of Workflow Systems
Abstract. Constrained graphs are directed graphs describing the control flow of processes models. In such graphs, nodes represent activities involved in the process, and edges the ...
Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, ...
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 13 days ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 3 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
INCDM
2007
Springer
121views Data Mining» more  INCDM 2007»
14 years 12 days ago
Collaborative Filtering Using Electrical Resistance Network Models
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
Jérôme Kunegis, Stephan Schmidt