Leveraging Clustering and Natural Language Processing to Overcome Variety Issues in Log Management.
Tobias Eljasik-SwobodaWilhelm DemuthPublished in: ICAART (2) (2020)
Keyphrases
- natural language processing
- clustering method
- clustering algorithm
- wide variety
- k means
- machine learning
- information extraction
- management system
- text processing
- cluster analysis
- real world
- decision making
- data points
- knowledge representation
- key issues
- decision support
- spectral clustering
- project management
- document clustering
- data clustering
- ontology learning
- information management
- fuzzy clustering
- semantic relations
- computational linguistics
- self organizing maps
- unsupervised learning
- text mining
- software engineering
- machine translation
- outlier detection
- data processing
- text classification
- word sense disambiguation
- graph theoretic
- wide range
- case study
- website