A Knowledge Discovery from Full-Text Document Collections Using Clustering and Interpretable Genetic-Fuzzy Systems.
Filip RudzinskiPublished in: MISSI (2018)
Keyphrases
- document collections
- fuzzy systems
- information retrieval systems
- knowledge discovery
- document clustering
- digital libraries
- fuzzy rules
- topic detection
- neural network
- evolutionary computation
- information retrieval
- document retrieval
- test collection
- clustering algorithm
- soft computing
- fuzzy model
- document clusters
- clustering method
- nonlinear systems
- computational intelligence
- k means
- neuro fuzzy systems
- neural fuzzy
- takagi sugeno
- rule base
- genetic algorithm
- fuzzy control
- scatter gather
- fuzzy inference system
- artificial neural networks
- cluster analysis
- text mining
- unsupervised learning
- databases
- text collections
- fuzzy clustering
- retrieval systems
- fuzzy sets
- fuzzy logic
- data points
- multimedia
- decision making
- data mining
- data mining techniques
- document classification
- classification rules
- input output
- machine learning
- membership functions