On Using Disparate Scholarly Data to Identify Potential Members for Interdisciplinary Research Groups.
Francisco OsunaMonika AkbarAnn Q. GatesPublished in: IRI (2017)
Keyphrases
- data sets
- data processing
- data points
- training data
- original data
- raw data
- high quality
- data analysis
- data sources
- database
- end users
- statistical analysis
- sensor data
- data quality
- identify potential
- data acquisition
- application domains
- data collection
- historical data
- synthetic data
- small number
- data structure
- computer systems
- spatial data
- data mining algorithms
- semi supervised
- experimental data
- data distribution
- image data
- multimedia data
- knowledge discovery
- xml documents
- complex data
- social networks
- real time