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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
PSYCHNOLOGY
2008
156views more  PSYCHNOLOGY 2008»
13 years 7 months ago
SIM: A dynamic multidimensional visualization method for social networks
Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed f...
Maria Chiara Caschera, Fernando Ferri, Patrizia Gr...
IV
2000
IEEE
123views Visualization» more  IV 2000»
14 years 13 days ago
Content-Based Image Visualization
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
Chaomei Chen, George Gagaudakis, Paul L. Rosin
ICDCSW
2006
IEEE
14 years 2 months ago
Semantic Data Extraction for B2B Integration
Business-to-business (B2B) data exchange and integration is a common daily operation in today’s organizations. These operations are crucial since they affect organizations’ ca...
Bruno Silva, Jorge Cardoso
IJCNN
2006
IEEE
14 years 2 months ago
Tentacled Self-Organizing Map for Effective Data Extraction
— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
Haruna Matsushita, Yoshifumi Nishio