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This monograph presents a study on data mining techniques and its application in medical image analysis for cancer detection. An extensive survey and comparative study on various clustering and association mining techniques has been presented. Monograph also reported one new density based clustering technique EnDBSCAN that can detect embedded cluster structure and OPAM- an efficient one pass technique for mining frequent item sets. Results have been reported to establish the effectiveness of the works in light of various synthetic datasets. Finally it discusses about medical imaging and potentials of data mining techniques for analyzing medical imagery for detecting disease like cancer. As a case study it discusses two cancer type namely brain and skin cancer. It also proposes architecture for automatic brain cancer detection tool based on Data Mining techniques.
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L'autore
S Roy (M.Tech.,Gold Medalist)is Assistant Professor in the department of IT,NEHU, Shillong. He has published a number of papers in refereed Int'l. Conference and Journal. D K Bhattacharyya(PhD) is Professor in the department of CSE of Tezpur University. He has more than 90 research publications in the Int'l. Journals and refereed Conf.
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- EditoreVDM Verlag Dr. Müller
- Data di pubblicazione2010
- ISBN 10 363926746X
- ISBN 13 9783639267464
- RilegaturaCopertina flessibile
- Numero di pagine120
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Data Mining Techniques and Its Application in Medical Imagery: Data Mining Techniques and Its Application in Medical Imagery
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph presents a study on data mining techniques and its application in medical image analysis for cancer detection. An extensive survey and comparative study on various clustering and association mining techniques has been presented. Monograph also reported one new density based clustering technique EnDBSCAN that can detect embedded cluster structure and OPAM- an efficient one pass technique for mining frequent item sets. Results have been reported to establish the effectiveness of the works in light of various synthetic datasets. Finally it discusses about medical imaging and potentials of data mining techniques for analyzing medical imagery for detecting disease like cancer. As a case study it discusses two cancer type namely brain and skin cancer. It also proposes architecture for automatic brain cancer detection tool based on Data Mining techniques. 120 pp. Englisch. Codice articolo 9783639267464
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Data Mining Techniques and Its Application in Medical Imagery : Data Mining Techniques and Its Application in Medical Imagery
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph presents a study on data mining techniques and its application in medical image analysis for cancer detection. An extensive survey and comparative study on various clustering and association mining techniques has been presented. Monograph also reported one new density based clustering technique EnDBSCAN that can detect embedded cluster structure and OPAM- an efficient one pass technique for mining frequent item sets. Results have been reported to establish the effectiveness of the works in light of various synthetic datasets. Finally it discusses about medical imaging and potentials of data mining techniques for analyzing medical imagery for detecting disease like cancer. As a case study it discusses two cancer type namely brain and skin cancer. It also proposes architecture for automatic brain cancer detection tool based on Data Mining techniques. Codice articolo 9783639267464
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Data Mining Techniques and Its Application in Medical Imagery
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VDM Verlag Dr. Müller, 2010
ISBN 10: 363926746X
ISBN 13: 9783639267464
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Roy SwarupS Roy (M.Tech.,Gold Medalist)is Assistant Professor in the department of IT,NEHU, Shillong. He has published a number of papers in refereed Int l. Conference and Journal. D K Bhattacharyya(PhD) is Professor in the departm. Codice articolo 4972453
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