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