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» Large Scale Data Mining: Challenges and Responses
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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 2 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
LREC
2010
166views Education» more  LREC 2010»
14 years 11 months ago
Large Scale Multilingual Broadcast Data Collection to Support Machine Translation and Distillation Technology Development
The development of technologies to address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from ...
Kevin Walker, Christopher Caruso, Denise DiPersio
WSCG
2004
170views more  WSCG 2004»
14 years 11 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
15 years 4 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
VLDB
2004
ACM
126views Database» more  VLDB 2004»
15 years 3 months ago
Database Challenges in the Integration of Biomedical Data Sets
The clinical and basic science research domains present exciting and difficult data integration issues. Solving these problems is crucial as current research efforts in the field ...
Rakesh Nagarajan, Mushtaq Ahmed, Aditya Phatak