Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Discovering Test Set Regularities in Relational Domains
ICML '00 Proceedings of the Seventeenth 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
Simple Estimators for Relational Bayesian Classifiers
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Understanding tuberculosis epidemiology using structured statistical models
Artificial Intelligence in Medicine
On the collective classification of email "speech acts"
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using relational knowledge discovery to prevent securities fraud
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Interactive global illumination in dynamic participating media using selective photon tracing
Proceedings of the 21st spring conference on Computer graphics
Leveraging relational autocorrelation with latent group models
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Gene classification: issues and challenges for relational learning
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
ACM SIGKDD Explorations Newsletter
Linear prediction models with graph regularization for web-page categorization
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Relational Dependency Networks
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Efficient inference with cardinality-based clique potentials
Proceedings of the 24th international conference on Machine learning
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
Effective label acquisition for collective classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A bias/variance decomposition for models using collective inference
Machine Learning
Classifying networked entities with modularity kernels
Proceedings of the 17th ACM conference on Information and knowledge management
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
DS '08 Proceedings of the 11th International Conference on Discovery Science
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
SNARE: a link analytic system for graph labeling and risk detection
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning models of macrobehavior in complex adaptive systems
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Simulated Iterative Classification A New Learning Procedure for Graph Labeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Structure learning for statistical relational models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Improving learning in networked data by combining explicit and mined links
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Cautious inference in collective classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Reflect and correct: A misclassification prediction approach to active inference
ACM Transactions on Knowledge Discovery from Data (TKDD)
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
DS '09 Proceedings of the 12th International Conference on Discovery Science
Homophily of Neighborhood in Graph Relational Classifier
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Social network classification incorporating link typevalues
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
A higher order collective classifier for detecting andclassifying network events
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Cautious Collective Classification
The Journal of Machine Learning Research
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Randomization tests for distinguishing social influence and homophily effects
Proceedings of the 19th international conference on World wide web
Multi-network fusion for collective inference
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Network quantification despite biased labels
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Combining link and content for collective active learning
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
Label-dependent feature extraction in social networks for node classification
SocInfo'10 Proceedings of the Second international conference on Social informatics
A method of label-dependent feature extraction in social networks
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Relational mining in spatial domains: accomplishments and challenges
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Learning recommendations in social media systems by weighting multiple relations
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Network regression with predictive clustering trees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Leveraging social media networks for classification
Data Mining and Knowledge Discovery
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Community-based relational Markov networks in complex networks
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Network node label acquisition and tracking
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Label-dependent node classification in the network
Neurocomputing
Semi-supervised multi-task learning of structured prediction models for web information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
Improving user interest inference from social neighbors
Proceedings of the 20th ACM international conference on Information and knowledge management
Collective prediction with latent graphs
Proceedings of the 20th ACM international conference on Information and knowledge management
Batch Mode Active Learning for Networked Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Robust collective classification with contextual dependency network models
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A survey on statistical relational learning
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Semi-supervised tag recommendation - using untagged resources to mitigate cold-start problems
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology
MapReduce approach to collective classification for networks
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Leveraging relationships in social networks for sentiment analysis
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Exploiting latent relevance for relational learning of ubiquitous things
Proceedings of the 21st ACM international conference on Information and knowledge management
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Simple decision forests for multi-relational classification
Decision Support Systems
Competence region modelling in relational classification
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Sparsification and sampling of networks for collective classification
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
GRDB: a system for declarative and interactive analysis of noisy information networks
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Classifying online social network users through the social graph
FPS'12 Proceedings of the 5th international conference on Foundations and Practice of Security
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could be used to simultaneously classify a set of hyperlinked documents or infer the legitimacy of a set of related financial transactions. Several recent studies indicate that collective inference can significantly reduce classification error when compared with traditional inference techniques. We investigate the underlying mechanisms for this error reduction by reviewing past work on collective inference and characterizing different types of statistical models used for making inference in relational data. We show important differences among these models, and we characterize the necessary and sufficient conditions for reduced classification error based on experiments with real and simulated data.