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PREMI
2005
Springer
14 years 1 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
VLDB
2004
ACM
114views Database» more  VLDB 2004»
14 years 1 months ago
Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations
Traditional databases have focused on the issue of reducing I/O cost as it is the bottleneck in many operations. As databases become increasingly accepted in areas such as Geograp...
Nagender Bandi, Chengyu Sun, Amr El Abbadi, Divyak...
BMCBI
2010
172views more  BMCBI 2010»
13 years 3 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
ACSAC
2010
IEEE
13 years 5 months ago
Heap Taichi: exploiting memory allocation granularity in heap-spraying attacks
Heap spraying is an attack technique commonly used in hijacking browsers to download and execute malicious code. In this attack, attackers first fill a large portion of the victim...
Yu Ding, Tao Wei, Tielei Wang, Zhenkai Liang, Wei ...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 5 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...