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SKG
2006
IEEE
16 years 21 days 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
BTW
1999
Springer
157views Database» more  BTW 1999»
15 years 11 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 10 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
EDBT
2010
ACM
132views Database» more  EDBT 2010»
15 years 10 months ago
Algorithm-safe privacy-preserving data publishing
This paper develops toolsets for eliminating algorithm-based disclosure from existing privacy-preserving data publishing algorithms. We first show that the space of algorithm-base...
Xin Jin, Nan Zhang 0004, Gautam Das
CORR
2010
Springer
60views Education» more  CORR 2010»
15 years 6 months ago
A Novel Scheme for Secured Data Transfer Over Computer Networks
: This paper presents a novel encryption-less algorithm to enhance security in transmission of data in networks. The algorithm uses an intuitively simple idea of a `jigsaw puzzle&#...
Rangarajan Vasudevan, Ajith Abraham, Sugata Sanyal