Towards multi-dimensional Clustering of Business Process Models using Latent Dirichlet Allocation.
Tobias DumontPeter FettkePeter LoosPublished in: MKWI (2016)
Keyphrases
- latent dirichlet allocation
- multi dimensional
- topic discovery
- business process models
- topic models
- probabilistic latent semantic analysis
- probabilistic latent semantic indexing
- topic modeling
- generative model
- business process
- lda model
- business processes
- latent topic models
- text mining
- clustering method
- latent topics
- clustering algorithm
- unsupervised learning
- variational bayesian inference
- process model
- cluster analysis
- document clustering
- k means
- gibbs sampling
- variational inference
- real world
- text documents
- probabilistic topic models
- probabilistic model
- co occurrence
- data points
- control flow
- text classification
- data analysis
- hierarchical bayesian model
- feature extraction
- case study
- spectral clustering