4560 search results - page 216 / 912 » Finding Data in the Neighborhood |
ICDE
2008
IEEE
15 years 8 months ago
2008
IEEE
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
VLDB
2001
ACM
14 years 22 days ago
2001
ACM
Cleaning data of errors in structure and content is important for data warehousing and integration. Current solutions for data cleaning involve many iterations of data “auditing...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
PODS
2006
ACM
14 years 8 months ago
2006
ACM
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...