Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data.
Oliver RübelSean AhernE. Wes BethelMark D. BigginHank ChildsEstelle Cormier-MichelAngela H. DePaceMichael B. EisenCharless C. FowlkesCameron G. R. GeddesHans HagenBernd HamannMin-Yu HuangSoile V. E. KeränenDavid W. KnowlesCris L. Luengo HendriksJitendra MalikJeremy S. MeredithPeter Messmer PrabhatPublished in: ICCS (2010)
Keyphrases
- scientific data
- data analysis
- knowledge discovery
- multi dimensional
- data collection
- bitmap indices
- multi dimensional data
- data visualization
- data management
- life sciences
- data mining
- hierarchical data
- scientific databases
- information visualization
- scientific data sets
- on line analytical processing
- multidimensional data
- text mining
- data mining applications
- data mining techniques
- business intelligence
- molecular dynamics
- high energy physics
- biological pathways
- climate data
- scientific disciplines
- biological data
- data mining algorithms
- machine learning
- outlier detection
- scientific data management
- visualization tool
- visual analytics
- data warehouse
- scientific information
- big data
- knowledge discovery and data mining
- range queries
- pattern discovery
- association rule mining
- geographically distributed
- interactive exploration
- data sets
- massive amounts of data
- database
- scientific workflows
- high dimensional
- interesting patterns
- data mining tasks
- index structure
- information retrieval
- metadata
- association patterns
- association rules
- data mining and knowledge discovery
- data cube
- sequential patterns