Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/218785
Title: EXPLORATION OF ADVANCED DATA MINING TECHNIQUES FOR BREAST CANCER DATA ANALYSIS
Researcher: UMME SALMA M
Guide(s): DORESWAMY
Keywords: Breast Cancer
Hybrid PSO-Fast K
Isagoge
University: Mangalore University
Completed Date: 
Abstract: The 21 st century has recognized itself as an era of knowledge. Thanks to data mining which is involved in the process of converting data - the seeds of knowledge, into fruits of knowledge. Irrespective of domain, the efficiency and effectiveness of data mining to extract, store, transform, process, analyze and interpret the data in different ways has provided solutions in various walks of life. One such domain is medical field. In medical field a rigorous research is carried out to provide solutions to various health related problems and issues. The key to solve a problem lies in its understanding and medical data mining is the best way to get the insight. A huge amount of medical data is digitally available. Digital data when mined uncovers meaningful patterns that can provide a better insight to solve a problem and to build a support system. This ensures a right decision is taken to provide a proper care, at the right time to the right patient.
Pagination: 178, xviii
URI: http://hdl.handle.net/10603/218785
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File140.01 kBAdobe PDFView/Open
02_certificate.pdf494.3 kBAdobe PDFView/Open
03_declaration.pdf494.35 kBAdobe PDFView/Open
04_priliminary pages.pdf320.12 kBAdobe PDFView/Open
05_chapter1.pdf171.94 kBAdobe PDFView/Open
06_chapter2.pdf135.15 kBAdobe PDFView/Open
07_chapter3.pdf517.69 kBAdobe PDFView/Open
08_chapter4.pdf452.24 kBAdobe PDFView/Open
09_chapter5.pdf476.55 kBAdobe PDFView/Open
10_chapter6.pdf259.02 kBAdobe PDFView/Open
11_chapter7.pdf511.75 kBAdobe PDFView/Open
12_conclusion.pdf88.85 kBAdobe PDFView/Open
13_publications.pdf69.49 kBAdobe PDFView/Open
14_appendix.pdf143.67 kBAdobe PDFView/Open
15_bibliography.pdf166.24 kBAdobe PDFView/Open


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