How to help end users to get better decisions? Personalising OLAP aggregation queries through semantic recommendation of text documents.
Talita dos Reis Lopes BerbelSahudy Montenegro GonzálezPublished in: Int. J. Bus. Intell. Data Min. (2015)
Keyphrases
- end users
- text documents
- aggregation queries
- heterogeneous data sources
- on line analytical processing
- sensor networks
- text mining
- aggregation functions
- query processing
- text classification
- business intelligence
- constraint databases
- materialized views
- topic models
- database queries
- keywords
- text categorization
- indexing techniques
- decision making
- information extraction
- user interface
- named entities
- bag of words
- wordnet
- decision makers
- relational database systems
- multi dimensional
- data cube
- data partitioning
- wireless sensor networks
- data warehouse
- expert systems
- domain ontology
- database systems
- data warehousing
- data integration
- data sets
- co occurrence
- aggregate queries
- knowledge base
- knowledge discovery
- image retrieval
- query language
- information retrieval
- machine learning