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FGCS
2007
160views more  FGCS 2007»
14 years 9 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
ICLP
2010
Springer
14 years 7 months ago
A Framework for Verification and Debugging of Resource Usage Properties: Resource Usage Verification
We present a framework for (static) verification of general resource usage program properties. The framework extends the criteria of correctness as the conformance of a program to ...
Pedro López-García, Luthfi Darmawan,...
SIGMOD
2007
ACM
149views Database» more  SIGMOD 2007»
15 years 10 months ago
A data-oriented survey of context models
Context-aware systems are pervading everyday life, therefore context modeling is becoming a relevant issue and an expanding research field. This survey has the goal to provide a c...
Cristiana Bolchini, Carlo Curino, Elisa Quintarell...
WWW
2008
ACM
15 years 10 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi