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» Representation of Bayesian Networks as Relational Databases
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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 2 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
BMCBI
2008
166views more  BMCBI 2008»
14 years 9 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
SIGMOD
2000
ACM
164views Database» more  SIGMOD 2000»
15 years 1 months ago
A Data Model and Data Structures for Moving Objects Databases
We consider spatio-temporal databases supporting spatial objects with continuously changing position and extent, termed moving objects databases. We formally define a data model f...
Luca Forlizzi, Ralf Hartmut Güting, Enrico Na...
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
15 years 9 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
SSD
2005
Springer
145views Database» more  SSD 2005»
15 years 3 months ago
High Performance Multimodal Networks
Networks often form the core of many users’ spatial databases. Networks are used to support the rapid navigation and analysis of linearly connected data such as that found in tra...
Erik G. Hoel, Wee-Liang Heng, Dale Honeycutt