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Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119508557.ch12openalex-snapshot
Introduction to Bayesian Networks
inferredcites →https://doi.org/10.1002/net.3230200507openalex-snapshot
Sequential updating of conditional probabilities on directed graphical structures
inferredcites →https://doi.org/10.1006/jpdc.2000.1694openalex-snapshot
Distributed Multivariate Regression Using Wavelet-Based Collective Data Mining
inferredcites →https://doi.org/10.1007/10985687_1openalex-snapshot
A Bayesian Approach to Causal Discovery
inferredcites →https://doi.org/10.1007/3-540-45372-5_50openalex-snapshot
Collective Principal Component Analysis from Distributed, Heterogeneous Data
inferredcites →https://doi.org/10.1007/3-540-45372-5_67openalex-snapshot
Clustering Distributed Homogeneous Datasets
inferredcites →https://doi.org/10.1007/3-540-46502-2_12openalex-snapshot
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data
inferredcites →https://doi.org/10.1007/978-1-4612-2748-9openalex-snapshot
Causation, Prediction, and Search
inferredcites →https://doi.org/10.1007/978-3-030-02735-3_7openalex-snapshot
Computational Intelligence
inferredcites →https://doi.org/10.1007/978-3-540-85066-3_3openalex-snapshot
A Tutorial on Learning with Bayesian Networks
inferredcites →https://doi.org/10.1007/978-3-642-93437-7_28openalex-snapshot
The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks
inferredcites →https://doi.org/10.1007/978-94-009-1485-8openalex-snapshot
New Horizons from Multi-Wavelength Sky Surveys
inferredcites →https://doi.org/10.1007/978-94-011-4960-0_18openalex-snapshot
The Sloan Digital Sky Survey
inferredcites →https://doi.org/10.1007/978-94-011-5014-9openalex-snapshot
Learning in Graphical Models
inferredcites →https://doi.org/10.1007/bf00993474openalex-snapshot
Inductive Policy: The Pragmatics of Bias Selection
inferredcites →https://doi.org/10.1007/bf00994110openalex-snapshot
A Bayesian Method for the Induction of Probabilistic Networks from Data
inferredcites →https://doi.org/10.1007/pl00011677openalex-snapshot
Distributed Clustering Using Collective Principal Component Analysis
inferredcites →https://doi.org/10.1007/pl00011678openalex-snapshot
Cost Complexity-Based Pruning of Ensemble Classifiers
inferredcites →https://doi.org/10.1016/0167-9473(93)e0056-aopenalex-snapshot
The EM algorithm for graphical association models with missing data
inferredcites →https://doi.org/10.1016/b978-1-4832-1451-1.50037-8openalex-snapshot
A Construction of Bayesian Networks from Databases Based on an MDL Principle
inferredcites →https://doi.org/10.1016/b978-1-55860-203-8.50010-3openalex-snapshot
Theory Refinement on Bayesian Networks
inferredcites →https://doi.org/10.1016/b978-1-55860-213-7.50029-8openalex-snapshot
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50068-2openalex-snapshot
A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers
inferredcites →https://doi.org/10.1017/s0074180900129225openalex-snapshot
The Second Guide Star Catalogue
inferredcites →https://doi.org/10.1023/a:1007369909943openalex-snapshot
Learning and Revising User Profiles: The Identification of Interesting Web Sites
inferredcites →https://doi.org/10.1023/a:1007417612269openalex-snapshot
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
inferredcites →https://doi.org/10.1023/a:1007421730016openalex-snapshot
Adaptive Probabilistic Networks with Hidden Variables
inferredcites →https://doi.org/10.1023/a:1007469629108openalex-snapshot
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables
inferredcites →https://doi.org/10.1023/a:1012813326519openalex-snapshot
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique
inferredcites →https://doi.org/10.1023/a:1022623210503openalex-snapshot
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
inferredcites →https://doi.org/10.1080/01621459.1994.10476894openalex-snapshot
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
inferredcites →https://doi.org/10.1109/icdcs.1997.598026openalex-snapshot
Distributed data mining of probabilistic knowledge
inferredcites →https://doi.org/10.1109/icdm.2001openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icdm.2001.989503openalex-snapshot
Distributed Web mining using Bayesian networks from multiple data streams
inferredcites →https://doi.org/10.1109/icdm.2002.1184005openalex-snapshot
A new algorithm for learning parameters of a Bayesian network from distributed data
inferredcites →https://doi.org/10.1111/j.1467-8640.1994.tb00166.xopenalex-snapshot
LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE
inferredcites →https://doi.org/10.1111/j.2517-6161.1988.tb01721.xopenalex-snapshot
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
inferredcites →https://doi.org/10.1117/12.421067openalex-snapshot
Toward ubiquitous mining of distributed data
inferredcites →https://doi.org/10.1145/266714.266920openalex-snapshot
Learning belief networks from data
inferredcites →https://doi.org/10.1145/267460.267507openalex-snapshot
Distributed cooperative Bayesian learning strategies
inferredcites →https://doi.org/10.1145/3357384openalex-snapshot
Proceedings of the 28th ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1214/ss/1177010894openalex-snapshot
[Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
inferredcites →https://doi.org/10.48550/arxiv.1301.7373openalex-snapshot
The Bayesian Structural EM Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1302.1538openalex-snapshot
Sequential Update of Bayesian Network Structure
inferredcites →https://doi.org/10.48550/arxiv.1302.3567openalex-snapshot
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
inferredcites →https://doi.org/10.48550/arxiv.1302.3579openalex-snapshot
On the Sample Complexity of Learning Bayesian Networks
inferredcites →https://doi.org/10.48550/arxiv.1302.4957openalex-snapshot
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains
inferredcites →https://doi.org/10.48550/arxiv.1304.3847openalex-snapshot
Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (1996)
inferredcites →https://doi.org/10.5555/114836.114863openalex-snapshot
Polynomial learnability of probabilistic concepts with respect to the Kullback-Leibler divergence
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inferred← citeshttps://doi.org/10.1002/widm.1115openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11596042_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11914853_31openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11925231_62openalex-snapshot
Automatic Construction of Bayesian Network Structures by Means of a Concurrent Search Mechanism
inferred← citeshttps://doi.org/10.1007/978-0-387-47534-9_14openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-87687-6_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-09879-1_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-25252-0_16openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-45378-1_49openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-98776-7_135openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-01091-0_16openalex-snapshot
Distributed Data Clustering: A Comparative Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-38433-2_85openalex-snapshot
Post-Earthquake Fire Risk Decision Research Based on Bayesian Networks
inferred← citeshttps://doi.org/10.1007/978-981-13-2254-9_15openalex-snapshot
Challenges in Mining Big Data Streams
inferred← citeshttps://doi.org/10.1007/978-981-13-9330-3_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-008-0124-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-008-0127-5openalex-snapshot
Multirelational classification: a multiple view approach
inferred← citeshttps://doi.org/10.1007/s10115-008-0151-5openalex-snapshot
Bayesian network based business information retrieval model
inferred← citeshttps://doi.org/10.1007/s10115-008-0175-xopenalex-snapshot
Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series
inferred← citeshttps://doi.org/10.1007/s10115-009-0218-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-009-0274-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-014-0393-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12652-020-02834-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13748-011-0002-6openalex-snapshot
A survey on learning from data streams: current and future trends
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.06.060openalex-snapshot
Privacy preserving sub-feature selection in distributed data mining
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2014.05.001openalex-snapshot
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling
inferred← citeshttps://doi.org/10.1016/j.dss.2006.02.002openalex-snapshot
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
inferred← citeshttps://doi.org/10.1016/j.ijar.2013.03.011openalex-snapshot
Bayesian network modeling of the consensus between experts: An application to neuron classification
inferred← citeshttps://doi.org/10.1016/j.inffus.2005.05.005openalex-snapshot
Real-time data mining of non-stationary data streams from sensor networks
inferred← citeshttps://doi.org/10.1016/j.jbi.2011.11.015openalex-snapshot
The inference of breast cancer metastasis through gene regulatory networks
inferred← citeshttps://doi.org/10.1016/j.procs.2018.10.514openalex-snapshot
Big Data Analytics based on PANFIS MapReduce
inferred← citeshttps://doi.org/10.1080/23270012.2015.1082449openalex-snapshot
Big data analytics: a literature review
inferred← citeshttps://doi.org/10.1109/aamas.2004.187openalex-snapshot
Multiagent Collaborative Learning for Distributed Business Systems
inferred← citeshttps://doi.org/10.1109/ccdc.2010.5498573openalex-snapshot
Firefighting and rescue cooperation task assignment based on DBOA
inferred← citeshttps://doi.org/10.1109/cec.2006.1688488openalex-snapshot
Evolutionary Aggregation and Refinement of Bayesian Networks
inferred← citeshttps://doi.org/10.1109/cidm.2009.4938628openalex-snapshot
A fault tolerant peer-to-peer distributed EM algorithm
inferred← citeshttps://doi.org/10.1109/fskd.2007.533openalex-snapshot
Structure Learning of Bayesian Networks Based on Vertical Segmentation Data
inferred← citeshttps://doi.org/10.1109/iat.2005.66openalex-snapshot
Distributed learning of Multi-Agent Causal Models
inferred← citeshttps://doi.org/10.1109/iccit.2008.282openalex-snapshot
Distributed Clustering for Data Sources with Diverse Schema
inferred← citeshttps://doi.org/10.1109/icdm.2002.1184005openalex-snapshot
A new algorithm for learning parameters of a Bayesian network from distributed data
inferred← citeshttps://doi.org/10.1109/icmlc.2003.1259764openalex-snapshot
Research and application of structure learning algorithm for Bayesian networks from distributed data
inferred← citeshttps://doi.org/10.1109/icmlc.2011.6016720openalex-snapshot
A hierarchical distributed data mining architecture
inferred← citeshttps://doi.org/10.1109/icmlc.2012.6358897openalex-snapshot
An ontology based semantic heterogeneity measurement framework for optimization in distributed data mining
inferred← citeshttps://doi.org/10.1109/snpd.2007.173openalex-snapshot
Aerodynamic Parameter Fitting Based on Robust Least Squares Support Vector Machines
inferred← citeshttps://doi.org/10.1109/snpd.2007.339openalex-snapshot
Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement
inferred← citeshttps://doi.org/10.1109/snpd.2007.472openalex-snapshot
Learning Bayesian Network Structure from Distributed Homogeneous Data
inferred← citeshttps://doi.org/10.1109/tim.2009.2036348openalex-snapshot
Distributed Unsupervised Gaussian Mixture Learning for Density Estimation in Sensor Networks
inferred← citeshttps://doi.org/10.1109/tkde.2006.147openalex-snapshot
Privacy-Preserving Computation of Bayesian Networks on Vertically Partitioned Data
inferred← citeshttps://doi.org/10.1109/trustcom.2013.274openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/12.559668openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/1.9781611972733.31openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0218001418500039openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0219622008003150openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/1582379.1582389openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2001858.2002103openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/956750.956829openalex-snapshot
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inferred← citeshttps://doi.org/10.1201/b19694-11openalex-snapshot
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inferred← citeshttps://doi.org/10.17148/ijarcce.2015.4227openalex-snapshot
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inferred← citeshttps://doi.org/10.18535/ijecs/v4i11.10openalex-snapshot
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inferred← citeshttps://doi.org/10.26634/jit.3.3.2944openalex-snapshot
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inferred← citeshttps://doi.org/10.31142/ijtsrd21574openalex-snapshot
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inferred← citeshttps://doi.org/10.31274/rtd-180813-14313openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jcm-2009-0235openalex-snapshot
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inferred← citeshttps://doi.org/10.5075/epfl-thesis-4133openalex-snapshot
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inferred← citeshttps://doi.org/10.7759/s44389-025-10497-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.9790/9622-0707071625openalex-snapshot
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