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VLDB
2005
ACM
118views Database» more  VLDB 2005»
16 years 5 days ago
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets
Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “tele...
Liang Jin, Chen Li
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 11 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
IPPS
1999
IEEE
15 years 11 months ago
Design and Implementation of a Scalable Parallel System for Multidimensional Analysis and OLAP
Multidimensional Analysis and On-Line Analytical Processing (OLAP) uses summary information that requires aggregate operations along one or more dimensions of numerical data value...
Sanjay Goil, Alok N. Choudhary
186
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KDD
2010
ACM
203views Data Mining» more  KDD 2010»
15 years 10 months ago
Collusion-resistant privacy-preserving data mining
Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protect...
Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
FOCS
2010
IEEE
15 years 4 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan