Efficient method for discovering the survivability in breast cancer using association rule mining
Material type: TextLanguage: en Publication details: Bengaluru : Presidency University, 2024Description: xi, 121 pISBN: 20193CSE0042Subject(s): Associative Classifiers | Breast Cancer Survivability | SEER datasetDDC classification: 005 AJI Online resources: Click here to access onlineItem type | Current library | Collection | Call number | Materials specified | URL | Status | Date due | Barcode |
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Thesis | Presidency University Library | Reference | 005 AJI (Browse shelf(Opens below)) | Link to resource | Hardcopy - Reference only | T166 |
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