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» Using a Hash-Based Method for Apriori-Based Graph Mining
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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
13 years 10 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
HICSS
2003
IEEE
127views Biometrics» more  HICSS 2003»
13 years 11 months ago
Storage Model for CDA Documents
The Health Level 7 Clinic Document Architecture (CDA) is an XML-based document markup standard that specifies the hierarchical structure and semantics of “clinical documents” ...
Zheng Liang, Peter Bodorik, Michael Shepher
SDM
2004
SIAM
165views Data Mining» more  SDM 2004»
13 years 7 months ago
Visualizing RFM Segmentation
Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
Ron Kohavi, Rajesh Parekh
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
13 years 11 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 9 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing