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» Finding Metric Structure in Information Theoretic Clustering
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84
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HICSS
1999
IEEE
183views Biometrics» more  HICSS 1999»
15 years 1 months ago
Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation
The Technology Acceptance Model (TAM) represents an important theoretical contribution toward understanding IS usage and IS acceptance behaviors [6, 19]. However, as noted by seve...
Yogesh Malhotra, Dennis F. Galletta
GI
2009
Springer
15 years 2 months ago
Deriving Taxonomies from Automatic Analysis of Group Membership Structure in Large Social Networks
: We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr p...
Marc Egger, Kai Fischbach, Peter A. Gloor, Andre L...
88
Voted
CSE
2009
IEEE
15 years 4 months ago
Real World Routing Using Virtual World Information
—In this paper, we propose to leverage social graphs from Online Social Networks (OSN) to improve the forwarding efficiency of mobile networks, more particularly Delay Tolerant ...
Pan Hui, Nishanth R. Sastry
HT
2003
ACM
15 years 2 months ago
Finding the story: broader applicability of semantics and discourse for hypermedia generation
Generating hypermedia presentations requires processing constituent material into coherent, unified presentations. One large challenge is creating a generic process for producing ...
Lloyd Rutledge, Martin Alberink, Rogier Brussee, S...
ISNN
2011
Springer
14 years 16 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes