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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 11 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 2 months ago
Best Effort Query Processing in DHT-based P2P Systems
Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
Philipp Rösch, Kai-Uwe Sattler, Christian von...
IAJIT
2010
157views more  IAJIT 2010»
13 years 7 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
Ashraf El-Sisi
ICDM
2008
IEEE
138views Data Mining» more  ICDM 2008»
14 years 3 months ago
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial da...
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Do...
CAISE
2006
Springer
14 years 1 months ago
Extending Database Technology: a New Document Data Type
Our research explores a new database extension. Our aim is to see how far it is possible to support collaborative editing and document provenance with database technology, and exte...
Stefania Leone