Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Probabilistic inference and influence diagrams
Operations Research
Management Science
Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Local expression languages for probabilistic dependence: a preliminary report
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Neural Computation
A practical Bayesian framework for backpropagation networks
Neural Computation
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
Real-world applications of Bayesian networks
Communications of the ACM
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Introduction to Bayesian Networks
Introduction to Bayesian Networks
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Data Mining and Knowledge Discovery
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
A Tractable Inference Algorithm for Diagnosing Multiple Diseases
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Equivalence and synthesis of causal models
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Directed reduction algorithms and decomposable graphs
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Decision-theoretic foundations for causal reasoning
Journal of Artificial Intelligence Research
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Building classifiers using Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A transformational characterization of equivalent Bayesian network structures
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning equivalence classes of Bayesian network structures
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Query DAGs: a practical paradigm for implementing belief-network inference
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Computing upper and lower bounds on likelihoods in intractable networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Statistical inference and data mining
Communications of the ACM
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Data mining by attribute decomposition with semiconductor manufacturing case study
Data mining for design and manufacturing
Knowledge discovery in databases: An overview
Relational Data Mining
Scalable Techniques for Mining Causal Structures
Data Mining and Knowledge Discovery
Hidden Markov Models for Text Categorization in Multi-Page Documents
Journal of Intelligent Information Systems
A Causal Probabilistic Network for Optimal Treatment of Bacterial Infections
IEEE Transactions on Knowledge and Data Engineering
Data Mining in Schizophrenia Research - Preliminary Analysis
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Scalable Techniques for Mining Causal Structures
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Image Document Categorization Using Hidden Tree Markov Models and Structured Representations
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Hierarchical Classification of Documents with Error Control
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
User-Defined Association Mining
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Bidirectional Dynamics for Protein Secondary Structure Prediction
Sequence Learning - Paradigms, Algorithms, and Applications
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Hidden Tree Markov Models for Document Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
The true lift model: a novel data mining approach to response modeling in database marketing
ACM SIGKDD Explorations Newsletter
Data mining for hypertext: a tutorial survey
ACM SIGKDD Explorations Newsletter
Theoretical frameworks for data mining
ACM SIGKDD Explorations Newsletter
Approach to the correlation discovery of Chinese linguistic parameters based on Bayesian method
Journal of Computer Science and Technology
A survey of Bayesian data mining
Data mining
Probabilistic User Behavior Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
DrC4.5: Improving C4.5 by means of prior knowledge
Proceedings of the 2005 ACM symposium on Applied computing
A Probabilistic Model for Predicting Software Development Effort
IEEE Transactions on Software Engineering
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
Scalable Parallel Implementation of Exact Inference in Bayesian Networks
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Exploring gene causal interactions using an enhanced constraint-based method
Pattern Recognition
Rule mining with prior knowledge -- a belief networks approach
Intelligent Data Analysis
Supervised model-based visualization of high-dimensional data
Intelligent Data Analysis
A hybrid Bayesian network learning method for constructing gene networks
Computational Biology and Chemistry
Computational Statistics & Data Analysis
Appraisal of companies with Bayesian networks
International Journal of Business Intelligence and Data Mining
International Journal of Hybrid Intelligent Systems - HIS 2007
Parallel exact inference on the cell broadband engine processor
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Bayesian Network Structure Ensemble Learning
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Large engineering project risk management using a Bayesian belief network
Expert Systems with Applications: An International Journal
Cost-benefit factor analysis in e-services using bayesian networks
Expert Systems with Applications: An International Journal
Learning Structural Models in Multiple Projection Spaces
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Parallel Evidence Propagation on Multicore Processors
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
Data mining based Bayesian networks for best classification
Computational Statistics & Data Analysis
A New Method of Causal Association Rule Mining Based on Language Field
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A Knowledge Management System Using Bayesian Networks
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Parallel exact inference on the Cell Broadband Engine processor
Journal of Parallel and Distributed Computing
Learning Bayesian networks using evolutionary algorithm and a variant of MDL score
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Texture classification of aerial image based on Bayesian networks with hidden nodes
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Application of Bayesian network to tendency prediction of blast furnace silicon content in hot metal
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Machine learning of clinical performance in a pancreatic cancer database
Artificial Intelligence in Medicine
Probabilistic and analytical estimation of software development team size
International Journal of Hybrid Intelligent Systems
Parameter learning in Bayesian network using semantic constraints of conversational feedback
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
IEEE Transactions on Image Processing
Data Mining and Knowledge Discovery
Feature fatigue analysis in product development using Bayesian networks
Expert Systems with Applications: An International Journal
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts
User Modeling and User-Adapted Interaction
Data mining: as an imperative tool for discovering knowledge
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
AutoBayesian: developing bayesian networks based on text mining
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Parallel evidence propagation on multicore processors
The Journal of Supercomputing
Intelligent fault inference for rotating flexible rotors using Bayesian belief network
Expert Systems with Applications: An International Journal
A hybrid anytime algorithm for the construction of causal models from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Decision theoretic foundations of graphical model selection
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
An algorithm for cooperative learning of bayesian network structure from data
CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
An approach to mining local causal relationships from databases
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Efficient causal interaction learning with applications in microarray
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Nearest-neighbor-based approach to time-series classification
Decision Support Systems
Multiple input and multiple output simulation metamodeling using Bayesian networks
Proceedings of the Winter Simulation Conference
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
An investigation of critical factors in medical device development through Bayesian networks
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
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A Bayesian network is a graphical model that encodesprobabilistic relationships among variables of interest. When used inconjunction with statistical techniques, the graphical model hasseveral advantages for data modeling. One, because the model encodesdependencies among all variables, it readily handles situations wheresome data entries are missing. Two, a Bayesian network can be used tolearn causal relationships, and hence can be used to gain understanding about a problem domain and to predict the consequencesof intervention. Three, because the model has both a causal andprobabilistic semantics, it is an ideal representation for combiningprior knowledge (which often comes in causal form) and data. Four,Bayesian statistical methods in conjunction with Bayesian networksoffer an efficient and principled approach for avoiding theoverfitting of data. In this paper, we discuss methods for constructing Bayesian networks from prior knowledge and summarizeBayesian statistical methods for using data to improve these models.With regard to the latter task, we describe methods for learning boththe parameters and structure of a Bayesian network, includingtechniques for learning with incomplete data. In addition, we relateBayesian-network methods for learning to techniques for supervised andunsupervised learning. We illustrate the graphical-modeling approachusing a real-world case study.