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» Clustering by pattern similarity in large data sets
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 7 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
CVDB
2004
ACM
15 years 3 months ago
Nearest Neighbor Search on Multimedia Indexing Structures
Nearest Neighbor Search on Multimedia Indexing Structures Multimedia databases get larger and larger in our days, and this trend is expected to continue in the future. There are v...
Thomas Seidl
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 years 4 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
ICFHR
2010
155views Biometrics» more  ICFHR 2010»
14 years 4 months ago
A Hybrid Model for Recognition of Online Handwriting in Indian Scripts
We present a complete online handwritten character recognition system for Indian languages that handles the ambiguities in segmentation as well as recognition of the strokes. The ...
Amit Arora, Anoop M. Namboodiri
EMNLP
2011
13 years 9 months ago
Relation Extraction with Relation Topics
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...