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135
Voted
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 8 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 5 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
WWW
2008
ACM
16 years 4 months ago
User oriented link function classification
Currently most link-related applications treat all links in the same web page to be identical. One link-related application usually requires one certain property of hyperlinks but...
Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Z...
156
Voted
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
16 years 4 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
126
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos