: An Efficient Technique for Loose Schema Information Extraction from Heterogeneous Big Data Sources.
Domenico BeneventanoSonia BergamaschiLuca GagliardelliGiovanni SimoniniPublished in: ACM J. Data Inf. Qual. (2020)
Keyphrases
- big data
- information extraction
- heterogeneous data sources
- cloud computing
- data management
- big data analytics
- data analysis
- data processing
- databases
- high volume
- data science
- social media
- text mining
- unstructured data
- vast amounts of data
- data intensive
- business intelligence
- machine learning
- data warehousing
- knowledge discovery
- information retrieval
- natural language processing
- structured data
- massive datasets
- data model
- database
- social computing
- massive data
- heterogeneous data
- text documents
- data integration
- predictive modeling
- textual data
- social networks
- data stores
- web mining