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ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 4 Issue 4, October 2010

TKDD Special Issue SIGKDD 2009
Wei Wang
Article No.: 16
DOI: 10.1145/1857947.1857948

Behavioral Targeting: The Art of Scaling Up Simple Algorithms
Ye Chen, Dmitry Pavlov, John F. Canny
Article No.: 17
DOI: 10.1145/1857947.1857949

Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression model from fine-grained user behavioral data and predicts...

Centralized and Distributed Anonymization for High-Dimensional Healthcare Data
Noman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-Kwong Lee
Article No.: 18
DOI: 10.1145/1857947.1857950

Sharing healthcare data has become a vital requirement in healthcare system management; however, inappropriate sharing and usage of healthcare data could threaten patients’ privacy. In this article, we study the privacy concerns of sharing...

Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
Chao Liu, Fan Guo, Christos Faloutsos
Article No.: 19
DOI: 10.1145/1857947.1857951

A fundamental challenge in utilizing Web search click data is to infer user-perceived relevance from the search log. Not only is the inference a difficult problem involving statistical reasonings but the bulky size, together with the...

A Model-Agnostic Framework for Fast Spatial Anomaly Detection
Mingxi Wu, Chris Jermaine, Sanjay Ranka, Xiuyao Song, John Gums
Article No.: 20
DOI: 10.1145/1857947.1857952

Given a spatial dataset placed on an n ×n grid, our goal is to find the rectangular regions within which subsets of the dataset exhibit anomalous behavior. We develop algorithms that, given any user-supplied arbitrary...