Combining Machine Learning and Information Retrieval Techniques for Software Clustering.
Anna CorazzaSergio Di MartinoValerio MaggioGiuseppe ScannielloPublished in: EternalS@FET (2011)
Keyphrases
- machine learning
- information retrieval
- k means
- text mining
- information extraction
- clustering method
- application of machine learning methods
- computational linguistics
- text clustering
- pattern recognition
- software development
- natural language processing
- unsupervised learning
- fuzzy clustering
- cluster analysis
- information retrieval systems
- clustering algorithm
- information theoretic
- machine learning methods
- categorical data
- data clustering
- software tools
- data points
- test collection
- document clustering
- computer systems
- data analysis
- user interface
- bug localization
- hierarchical clustering
- computer vision
- supervised classification
- explanation based learning
- retrieval model
- data mining
- knowledge discovery
- active learning
- query expansion
- text classification
- computational intelligence
- information access
- learning algorithm
- artificial intelligence
- text processing
- feature space
- web search
- vector space model
- source code
- document retrieval
- natural language
- learning to rank
- spectral clustering
- neural network
- case study
- machine learning algorithms
- self organizing maps
- retrieval systems