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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
COMPSAC
2008
IEEE
14 years 2 months ago
Entropy-Based Age Estimation of Blog Authors
In this investigation, we propose a probabilistic approach for estimating the ages of Blog authors by means of Naive Bayesian Classifier. We can learn context of characteristic wor...
Masataka Izumi, Takao Miura, Isamu Shioya
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 9 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
CSFW
2011
IEEE
12 years 7 months ago
Dynamic Enforcement of Knowledge-Based Security Policies
—This paper explores the idea of knowledge-based security policies, which are used to decide whether to answer queries over secret data based on an estimation of the querier’s ...
Piotr Mardziel, Stephen Magill, Michael Hicks, Mud...
CBMS
2007
IEEE
14 years 2 months ago
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Stefan Wermter