Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Computer-based probabilistic-network construction
Computer-based probabilistic-network construction
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Data Mining and Uncertain Reasoning: An Integrated Approach
Data Mining and Uncertain Reasoning: An Integrated Approach
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Structure Search and Stability Enhancement of Bayesian Networks
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Large-Sample Learning of Bayesian Networks is NP-Hard
The Journal of Machine Learning Research
IEEE Transactions on Evolutionary Computation
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
A WLAN planning proposal through computational intelligence and genetic algorithms hybrid approach
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Explaining instance classifications with interactions of subsets of feature values
Data & Knowledge Engineering
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
The influence of interference networks in QoS parameters in a WLAN 802.11g environment
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
An investigation of critical factors in medical device development through Bayesian networks
Expert Systems with Applications: An International Journal
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One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can point out the Bayesian networks as one of the most prominent when considering the easiness of knowledge interpretation achieved. Bayesian networks, however, present limitations and disadvantages regarding their use and applicability. This paper presents an extension for the improvement of Bayesian networks, treating aspects such as performance, as well as interpretability and use of their results; incorporating genetic algorithms in the model, multivariate regression for structure learning and temporal aspects using Markov chains.