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» Graph Mining based on a Data Partitioning Approach
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KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 3 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
165
Voted
CIKM
2008
Springer
15 years 5 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
118
Voted
GBRPR
2007
Springer
15 years 9 months ago
Hierarchy Construction Schemes Within the Scale Set Framework
Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are de...
Jean-Hugues Pruvot, Luc Brun
115
Voted
WWW
2005
ACM
16 years 4 months ago
WAND: a meta-data maintenance system over the internet
WAND is a meta-data management system that provides a file-system tree for users of an internet based P2P network. The tree is robust and retains its structure even when nodes (pe...
Anubhav Bhatia, Saikat Mukherjee, Saugat Mitra, Sr...
157
Voted
WWW
2011
ACM
14 years 10 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...