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» Data association for topic intensity tracking
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CIKM
2006
Springer
13 years 7 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis
ISI
2006
Springer
13 years 5 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
CIKM
2008
Springer
13 years 7 months ago
Non-local evidence for expert finding
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
Krisztian Balog, Maarten de Rijke
CLUSTER
2005
IEEE
13 years 11 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
WETICE
1997
IEEE
13 years 9 months ago
MultiDisciplinary Design for Uninhabited Air Vehicles
Contemporary product design and process development is based on an iterative specify-evaluate-revise approach which is often time intensive and therein non-responsive to customer ...
Max Blair, Steven R. LeClair, Jeffrey V. Zweber, A...