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Learning relational bayesian classifiers from RDF data
Published on Nov 25, 20112838 Views
The increasing availability of large RDF datasets o ffers an exciting opportunity to use such data to build predictive models using machine learning algorithms. However, the massive size and distrib
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Chapter list
Learning Relational Bayesian Classifiers from RDF Data00:00
Disease Prevention00:15
Product Recommendation00:58
City Planning01:30
Overview02:06
Outline - 103:02
Motivation: Learning Predictive Models from RDF Data03:07
Related Work: Learning Predictive Models from RDF Data04:20
Limitations of Existing Methods for Learning Predictive Models from RDF Data - 105:59
Limitations of Existing Methods for Learning Predictive Models from RDF Data - 206:21
Outline - 209:13
Statistical Query Based Approach to Learning Classifiers from RDF Data09:20
Learning Relational Bayesian Classifiers from RDF Data10:39
RBC Example - 112:06
RBC Example - 213:13
Learning Relational Bayesian Classifiers from Statistical Queries against RDF data14:51
Outline - 315:34
Communication Complexity15:37
Outline - 417:01
Learning Relational Bayesian Classifiers from Statistical Queries against RDF data: Further Extensions17:09
Updating Relational Bayesian Classifiers in Response to Updates to the Underlying RDF Store17:28
Building Relational Bayesian Classifiers when the Attributes of Interest are not known A priori18:57
US Census RDF schema (by Tauberer)19:28
Selective Attribute Crawling Experiment: Census20:12
Top 6 Attributes Selected by BestFirst Strategy21:25
Open Source Implementation22:23
Outline - 522:40
Contributions22:41
Future Work23:44
Thank You24:33
SPARQL Aggregate Queries31:51