UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering.
Fuzhi ZhangZening ZhangPeng ZhangShilei WangPublished in: Knowl. Based Syst. (2018)
Keyphrases
- knowledge discovery
- hidden markov models
- hierarchical clustering
- data mining
- markov model
- clustering method
- continuous hidden markov models
- sequential data
- forward backward
- speech recognition
- gesture recognition
- viterbi algorithm
- unsupervised learning
- support vector machine
- hierarchical clustering algorithm
- attack detection
- handwritten word recognition
- information extraction
- mixture distributions
- phoneme recognition
- noisy speech