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» Theoretical Frameworks for Data Mining
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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
15 years 10 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
PAKDD
2009
ACM
133views Data Mining» more  PAKDD 2009»
15 years 4 months ago
On Link Privacy in Randomizing Social Networks
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
Xiaowei Ying, Xintao Wu
SISAP
2008
IEEE
153views Data Mining» more  SISAP 2008»
15 years 4 months ago
Counting Distance Permutations
Distance permutation indexes support fast proximity searching in high-dimensional metric spaces. Given some fixed reference sites, for each point in a database the index stores a...
Matthew Skala
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 4 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...