Development of a diversified ensemble data summarization (DDS) tool for learning medical data in a multi relational environment
Medical or scientific data are normally stored in relational databases in which data are stored in multiple tables. A data summarization approach to knowledge discovery in structured medical datasets is often limited due to the complexity of the database schema. Since most of these data are stored i...
| Main Authors: | , , |
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| Format: | Research Report |
| Language: | English |
| Published: |
Universiti Malaysia Sabah
2012
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/24736/1/Development%20of%20a%20diversified%20ensemble%20data%20summarization%20%28DDS%29%20tool%20for%20learning%20medical%20data%20in%20a%20multi%20relational%20environment.pdf |