A scalable and effective rough set theory-based approach for big data pre-processing.
Zaineb Chelly DagdiaChristine ZargesGaël BeckMustapha LebbahPublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- rough set theory
- big data
- rough sets
- data analysis
- preprocessing
- knowledge discovery
- decision table
- attribute reduction
- decision rules
- cloud computing
- data processing
- granular computing
- data intensive computing
- big data analytics
- vast amounts of data
- social media
- information entropy
- business intelligence
- artificial intelligence
- data mining
- knowledge reduction
- xml documents
- tool for data mining
- data warehousing
- data science
- commodity hardware
- equivalence relation
- real world
- machine learning
- data reduction
- decision trees
- feature extraction
- expert systems
- information processing