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» Deriving Private Information from Randomized Data
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79
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ICDCS
2007
IEEE
15 years 4 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta
88
Voted
BMCBI
2010
109views more  BMCBI 2010»
14 years 9 months ago
Structural alphabets derived from attractors in conformational space
Background: The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as `states'...
Alessandro Pandini, Arianna Fornili, Jens Kleinjun...
BMCBI
2008
103views more  BMCBI 2008»
14 years 9 months ago
TOPS++FATCAT: Fast flexible structural alignment using constraints derived from TOPS+ Strings Model
Background: Protein structure analysis and comparison are major challenges in structural bioinformatics. Despite the existence of many tools and algorithms, very few of them have ...
Mallika Veeramalai, Yuzhen Ye, Adam Godzik
UAIS
2010
14 years 4 months ago
Auditory universal accessibility of data tables using naturally derived prosody specification
Abstract Text documents usually embody visually oriented meta-information in the form of complex visual structures, such as tables. The semantics involved in such objects result in...
Dimitris Spiliotopoulos, Gerasimos Xydas, Georgios...
VLDB
2007
ACM
115views Database» more  VLDB 2007»
15 years 3 months ago
The Boundary Between Privacy and Utility in Data Publishing
We consider the privacy problem in data publishing: given a database instance containing sensitive information “anonymize” it to obtain a view such that, on one hand attackers...
Vibhor Rastogi, Sungho Hong, Dan Suciu