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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 11 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 11 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 11 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork
STOC
2007
ACM
101views Algorithms» more  STOC 2007»
14 years 11 months ago
The price of privacy and the limits of LP decoding
This work is at the intersection of two lines of research. One line, initiated by Dinur and Nissim, investigates the price, in accuracy, of protecting privacy in a statistical dat...
Cynthia Dwork, Frank McSherry, Kunal Talwar
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 11 months ago
Extending Dependencies with Conditions
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
Loreto Bravo, Wenfei Fan, Shuai Ma