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CLOUD
2010
ACM
15 years 10 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
BMCBI
2007
165views more  BMCBI 2007»
15 years 4 months ago
Automatic reconstruction of a bacterial regulatory network using Natural Language Processing
Background: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implement...
Carlos Rodríguez Penagos, Heladia Salgado, ...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 2 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
SIGMOD
2010
ACM
277views Database» more  SIGMOD 2010»
15 years 9 months ago
A comparison of join algorithms for log processing in MaPreduce
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
CORR
2010
Springer
206views Education» more  CORR 2010»
15 years 4 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook