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KDD
2002
ACM
127views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 8 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
BPM
2009
Springer
340views Business» more  BPM 2009»
14 years 2 months ago
Abstractions in Process Mining: A Taxonomy of Patterns
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ICDE
1995
IEEE
192views Database» more  ICDE 1995»
14 years 9 months ago
Mining Sequential Patterns
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...
Rakesh Agrawal, Ramakrishnan Srikant
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 5 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...