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IJUFKS
2002
78views more  IJUFKS 2002»
15 years 4 months ago
On the Security of Microaggregation with Individual Ranking: Analytical Attacks
Microaggregation is a statistical disclosure control technique. Raw microdata (i.e. individual records) are grouped into small aggregates prior to publication. With fixed-size grou...
Josep Domingo-Ferrer, Josep Maria Mateo-Sanz, Anna...
COLING
2010
14 years 11 months ago
Sentiment Translation through Multi-Edge Graphs
Sentiment analysis systems can benefit from the translation of sentiment information. We present a novel, graph-based approach using SimRank, a well-established graph-theoretic al...
Christian Scheible, Florian Laws, Lukas Michelbach...
VLDB
2007
ACM
121views Database» more  VLDB 2007»
16 years 4 months ago
Ranked Subsequence Matching in Time-Series Databases
Existing work on similar sequence matching has focused on either whole matching or range subsequence matching. In this paper, we present novel methods for ranked subsequence match...
Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Haifeng ...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 11 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
NIPS
2007
15 years 5 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...