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» Clustering by pattern similarity in large data sets
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CVPR
2007
IEEE
16 years 8 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk
PETRA
2010
ACM
15 years 10 months ago
Context-aware optimized information dissemination in large scale vehicular networks
Context-aware inter-vehicular communication is considered to be vital for inducing intelligence through the use of embedded computing devices inside vehicles. Vehicles in a scalab...
Yves Vanrompay, Ansar-Ul-Haque Yasar, Davy Preuven...
CCS
2009
ACM
16 years 7 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
KCAP
2009
ACM
16 years 1 months ago
Knowledge engineering rediscovered: towards reasoning patterns for the semantic web
The extensive work on Knowledge Engineering in the 1990s has resulted in a systematic analysis of task-types, and the corresponding problem solving methods that can be deployed fo...
Frank van Harmelen, Annette ten Teije, Holger Wach...
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 8 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan