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» On Anonymization of String Data
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CORR
2010
Springer
79views Education» more  CORR 2010»
13 years 11 months ago
Providing Data Group Anonymity Using Concentration Differences
Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There are...
Oleg Chertov, Dan Tavrov
VLDB
2007
ACM
107views Database» more  VLDB 2007»
14 years 11 months ago
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams
Many applications need to solve the following problem of approximate string matching: from a collection of strings, how to find those similar to a given string, or the strings in ...
Chen Li, Bin Wang, Xiaochun Yang
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
14 years 5 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä
IJCAI
2003
14 years 7 days ago
A Statistical Model for Flexible String Similarity
This paper proposes a statistical model for defining string similarity. The proposed model is based on hidden Markov model and defines string similarity as the combination of simi...
Atsuhiro Takasu
SIGMOD
2009
ACM
228views Database» more  SIGMOD 2009»
14 years 11 months ago
Interactive anonymization of sensitive data
There has been much recent work on algorithms for limiting disclosure in data publishing. However, these algorithms have not been put to use in any comprehensive, usable toolkit f...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke