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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 7 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
CMOT
2004
83views more  CMOT 2004»
15 years 9 days ago
Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings
Social action is situated in fields that are simultaneously composed of interpersonal ties and relations among organizations, which are both usefully characterized as social netwo...
Douglas R. White, Jason Owen-Smith, James Moody, W...
114
Voted
CIKM
2006
Springer
15 years 4 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
INFOVIS
2005
IEEE
15 years 6 months ago
Parallel Sets: Visual Analysis of Categorical Data
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
Fabian Bendix, Robert Kosara, Helwig Hauser

Publication
197views
13 years 8 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...