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ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
13 years 11 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
PAMI
2008
197views more  PAMI 2008»
13 years 4 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
DEXAW
2008
IEEE
128views Database» more  DEXAW 2008»
13 years 11 months ago
Proximity Estimation and Hardness of Short-Text Corpora
Abstract—In this work, we investigate the relative hardness of shorttext corpora in clustering problems and how this hardness relates to traditional similarity measures. Our appr...
Marcelo Luis Errecalde, Diego Ingaramo, Paolo Ross...
AINTEC
2005
Springer
13 years 10 months ago
Application-Level Versus Network-Level Proximity
Abstract. We motivate in this paper the need for application-level proximity. This proximity is a function of network characteristics that decide on the application performance. Mo...
Mohammad Malli, Chadi Barakat, Walid Dabbous
IMC
2009
ACM
13 years 11 months ago
Scalable proximity estimation and link prediction in online social networks
Proximity measures quantify the closeness or similarity between nodes in a social network and form the basis of a range of applications in social sciences, business, information t...
Han Hee Song, Tae Won Cho, Vacha Dave, Yin Zhang, ...