Sciweavers

106 search results - page 12 / 22
» Deriving Private Information from Association Rule Mining Re...
Sort
View
WPES
2005
ACM
14 years 2 months ago
Mining rule semantics to understand legislative compliance
Organizations in privacy-regulated industries (e.g. healthcare and financial institutions) face significant challenges when developing policies and systems that are properly align...
Travis D. Breaux, Annie I. Antón
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 9 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Video Semantic Concept Discovery using Multimodal-Based Association Classification
Digital audio and video have recently taken a center stage in the communication world, which highlights the importance of digital media information management and indexing. It is ...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
SAC
2006
ACM
14 years 2 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
ALT
2002
Springer
14 years 5 months ago
How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution
Abstract. We consider a problem that is related to the “Universal Encoding Problem” from information theory. The basic goal is to find rules that map “partial information”...
Dietrich Braess, Jürgen Forster, Tomas Sauer,...