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» Distributed data mining in grid computing environments
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 1 months ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...
WWW
2009
ACM
14 years 10 months ago
A trust management framework for service-oriented environments
Many reputation management systems have been developed under the assumption that each entity in the system will use a variant of the same scoring function. Much of the previous wo...
William Conner, Arun Iyengar, Thomas A. Mikalsen, ...
HIPC
2000
Springer
14 years 27 days ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
ICDCS
2007
IEEE
14 years 3 months ago
A Weighted Moving Average-based Approach for Cleaning Sensor Data
Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environment, however, it is ...
Yongzhen Zhuang, Lei Chen 0002, Xiaoyang Sean Wang...