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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 5 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 4 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
ICDT
2005
ACM
88views Database» more  ICDT 2005»
15 years 10 months ago
When Is Nearest Neighbors Indexable?
Abstract. In this paper, we consider whether traditional index structures are effective in processing unstable nearest neighbors workloads. It is known that under broad conditions...
Uri Shaft, Raghu Ramakrishnan
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 10 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
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