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» A new approach to dynamic self-tuning of database buffers
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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
KBSE
2005
IEEE
14 years 1 months ago
AMNESIA: analysis and monitoring for NEutralizing SQL-injection attacks
The use of web applications has become increasingly popular in our routine activities, such as reading the news, paying bills, and shopping on-line. As the availability of these s...
William G. J. Halfond, Alessandro Orso
SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
14 years 29 days ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
VLDB
2005
ACM
162views Database» more  VLDB 2005»
14 years 26 days ago
FiST: Scalable XML Document Filtering by Sequencing Twig Patterns
In recent years, publish-subscribe (pub-sub) systems based on XML document filtering have received much attention. In a typical pubsub system, subscribed users specify their inte...
Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
13 years 11 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...