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» Benchmarking Data Mining Algorithms
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SDM
2008
SIAM
129views Data Mining» more  SDM 2008»
15 years 8 months ago
Statistical Density Prediction in Traffic Networks
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
192
Voted
SDM
2007
SIAM
73views Data Mining» more  SDM 2007»
15 years 8 months ago
Sketching Landscapes of Page Farms
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
Bin Zhou 0002, Jian Pei
195
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SBBD
2000
168views Database» more  SBBD 2000»
15 years 8 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
224
Voted
CIKM
2010
Springer
15 years 5 months ago
Understanding retweeting behaviors in social networks
Retweeting is an important action (behavior) on Twitter, indicating the behavior that users re-post microblogs of their friends. While much work has been conducted for mining text...
Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li...
225
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 5 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara