Effective Mashup Service Clustering Method by Exploiting LDA Topic Model from Multiple Data Sources.
Buqing CaoXiaoqing Frank LiuJianxun LiuMingdong TangPublished in: APSCC (2015)
Keyphrases
- topic models
- clustering method
- mashup
- latent dirichlet allocation
- topic modeling
- web applications
- third party
- text mining
- latent topics
- web services
- generative model
- text documents
- web content
- cluster analysis
- probabilistic model
- clustering algorithm
- model driven
- co occurrence
- document clustering
- variational inference
- similarity measure
- topic discovery
- end users
- social networking
- lightweight
- k means
- probabilistic topic models
- lda model
- bayesian networks
- rapid development
- linked data
- data mining
- text classification