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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 7 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
CHI
2007
ACM
16 years 7 months ago
Transfer scenarios: grounding innovation with marginal practices
Transfer scenarios is a method developed to support the design of innovative interactive technology. Such a method should help the designer to come up with inventive ideas, and at...
Sara Ljungblad, Lars Erik Holmquist
CHI
2005
ACM
16 years 7 months ago
Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based mod
This paper presents X-PRT, a new cognitive modeling tool supporting activities ranging from interface design to basic cognitive research. X-PRT provides a graphical model developm...
Irene Tollinger, Richard L. Lewis, Michael McCurdy...
CHI
2003
ACM
16 years 7 months ago
Unpacking "privacy" for a networked world
Although privacy is broadly recognized as a dominant concern for the development of novel interactive technologies, our ability to reason analytically about privacy in real settin...
Leysia Palen, Paul Dourish