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AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
SIGIR
2009
ACM
15 years 4 months ago
Page hunt: improving search engines using human computation games
There has been a lot of work on evaluating and improving the relevance of web search engines. In this paper, we suggest using human computation games to elicit data from players t...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
CSDA
2010
105views more  CSDA 2010»
14 years 12 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 8 days ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai
GIS
2009
ACM
16 years 28 days ago
Web 2.0 Geospatial Visual Analytics for Improved Urban Flooding Situational Awareness and Assessment
Situational awareness of urban flooding during storm events is important for disaster and emergency management. However, no general purpose tools yet exist for rendering rainfall ...
Alejandro Rodríguez, David Hill, Jim Myers,...