On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Learning Probabilistic Models of Relational Structure
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A machine learning approach to building domain-specific search engines
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
1BC2: a true first-order Bayesian classifier
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Why collective inference improves relational classification
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient multi-relational Naïve Bayesian classifier based on semantic relationship graph
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Leveraging relational autocorrelation with latent group models
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Leveraging Relational Autocorrelation with Latent Group Models
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Integrating Naïve Bayes and FOIL
The Journal of Machine Learning Research
Relational Dependency Networks
The Journal of Machine Learning Research
Exploiting time-varying relationships in statistical relational models
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
nFOIL: integrating Naïve Bayes and FOIL
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Structure learning for statistical relational models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Cautious Collective Classification
The Journal of Machine Learning Research
Adding data mining support to SPARQL via statistical relational learning methods
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Semantic web enabled software analysis
Web Semantics: Science, Services and Agents on the World Wide Web
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
Graph regularized transductive classification on heterogeneous information networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Discovering missing values in semi-structured databases
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Application and evaluation of inductive reasoning methods for the semantic web and software analysis
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Learning relational bayesian classifiers from RDF data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Boosting tuple propagation in multi-relational classification
Proceedings of the 15th Symposium on International Database Engineering & Applications
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Robust collective classification with contextual dependency network models
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Time-Evolving relational classification and ensemble methods
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Simple decision forests for multi-relational classification
Decision Support Systems
Scaling factorization machines to relational data
Proceedings of the VLDB Endowment
Pre-release box-office success prediction for motion pictures
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Data Mining and Knowledge Discovery
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In this paper we present the Relational BayesianClassifier (RBC), a modification of the Simple BayesianClassifier (SBC) for relational data. There exist severalBayesian classifiers that learn predictive models ofrelational data, but each uses a different estimationtechnique for modeling heterogeneous sets of attributevalues. The effects of data characteristics on estimationhave not been explored. We consider four simpleestimation techniques and evaluate them on three real-worlddata sets. The estimator that assumes each multisetvalue is independently drawn from the same distribution(INDEPVAL) achieves the best empirical results. Weexamine bias and variance tradeoffs over a range of datasets and show that INDEPVAL's ability to model moremultiset information results in lower bias estimates andcontributes to its superior performance.