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SKG
2006
IEEE
14 years 2 months ago
Abox Inference for Large Scale OWL-Lite Data
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
Xiaofeng Wang, Jianbo Ou, Xiaofeng Meng, Yan Chen
ICDCS
2006
IEEE
14 years 2 months ago
Adaptive Control of Extreme-scale Stream Processing Systems
Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
14 years 9 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
DKE
2008
124views more  DKE 2008»
13 years 8 months ago
A MaxMin approach for hiding frequent itemsets
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
George V. Moustakides, Vassilios S. Verykios
VLDB
1989
ACM
155views Database» more  VLDB 1989»
14 years 16 days ago
Parallel Processing of Recursive Queries in Distributed Architectures
This paper presents a parallel algorithm for recursive query processing and shows how it can be efficiently implemented in a local computer network. The algorithm relies on an int...
Guy Hulin