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158
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WWW
2006
ACM
16 years 4 months ago
Semantic link based top-K join queries in P2P networks
An important issue arising from Peer-to-Peer applications is how to accurately and efficiently retrieve a set of K best matching data objects from different sources while minimizi...
Jie Liu, Liang Feng, Chao He
148
Voted
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 3 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
128
Voted
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 3 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
135
Voted
EDBT
2006
ACM
255views Database» more  EDBT 2006»
16 years 3 months ago
FIS-by-Step: Visualization of the Fast Index Scan for Nearest Neighbor Queries
Abstract. Many different index structures have been proposed for spatial databases to support efficient query processing. However, most of these index structures suffer from an exp...
Elke Achtert, Dominik Schwald
114
Voted
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 19 days ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
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