Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide.
Roberto EspinosaDiego García-SaizMarta E. ZorrillaJosé Jacobo ZubcoffJose-Norberto MazónPublished in: SIMPDA (Revised Selected Papers) (2013)
Keyphrases
- big data
- data mining
- data science
- data analysis
- knowledge discovery
- business intelligence
- data visualization
- data stores
- data warehousing
- massive datasets
- cloud computing
- data management
- big data analytics
- predictive modeling
- data analytics
- data intensive
- high volume
- massive data
- health informatics
- data processing
- vast amounts of data
- statistical learning
- data mining methods
- unstructured data
- real world
- decision support
- text mining
- data warehouse
- data sets
- machine learning
- data mining applications
- data intensive computing
- database systems
- data mining algorithms
- information processing
- data mining techniques
- social media
- business analytics
- decision making
- statistical data mining
- association rules
- application oriented
- information extraction
- decision support system