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CIKM
2010
Springer
15 years 2 months ago
Anonymizing data with quasi-sensitive attribute values
We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Pu Shi, Li Xiong, Benjamin C. M. Fung
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
15 years 8 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
156
Voted
APSCC
2010
IEEE
15 years 2 months ago
On Evaluating and Publishing Data Concerns for Data as a Service
Abstract--The proliferation of Data as a Service (DaaS) available on the Internet and offered by cloud service providers indicates an increasing trend in providing data under Web s...
Hong Linh Truong, Schahram Dustdar
197
Voted
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
16 years 5 months ago
Efficiently Detecting Inclusion Dependencies
Data sources for data integration often come with spurious schema definitions such as undefined foreign key constraints. Such metadata are important for querying the database and ...
Jana Bauckmann, Ulf Leser, Felix Naumann, Veroniqu...
GIS
2008
ACM
16 years 5 months ago
An inconsistency tolerant approach to querying spatial databases
In order to deal with inconsistent databases, a repair semantics defines a set of admissible database instances that restore consistency, while staying close to the original insta...
Leopoldo E. Bertossi, Mónica Caniupá...