Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types.
Andrzej JanuszAdam KrasuskiMarcin S. SzczukaPublished in: RSFDGrC (2013)
Keyphrases
- data types
- data model
- data structure
- database management systems
- database systems
- user defined
- clustering algorithm
- k means
- database server
- back end
- database objects
- abstract data types
- data mining algorithms
- semantic web
- data formats
- complex data types
- data manipulation language
- data mining
- heterogeneous data sources
- data objects
- distributed databases
- multi dimensional
- training set
- machine learning