Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data.
Oleg GorokhovMikhail PetrovskiyIgor MashechkinPublished in: IDEAL (2017)
Keyphrases
- text data
- convolutional neural networks
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- text classification
- text mining
- convolutional network
- high dimensional
- text documents
- structured data
- pattern mining
- high dimensional data
- topic hierarchies
- document collections
- semi supervised learning
- unsupervised learning
- pairwise
- web pages
- data sets
- decision trees
- generative model
- low dimensional
- reinforcement learning