Data Mining Techniques and Its Application in Medical Imagery
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Data Mining Techniques and Its Application in Medical Imagery (2010)
DE PB NW RPISBN: 9783639267464 bzw. 363926746X, in Deutsch, Vdm Verlag Aug 2010, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. - 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.
This item is printed on demand - Print on Demand Titel. - 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.
2
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Data Mining Techniques and Its Application in Medical Imagery
DE PB NWISBN: 9783639267464 bzw. 363926746X, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
This item is printed on demand. Paperback. 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. This item ships from La Vergne,TN.
This item is printed on demand. Paperback. 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. This item ships from La Vergne,TN.
3
Data Mining Techniques and Its Application in Medical Imagery
DE PB NWISBN: 9783639267464 bzw. 363926746X, in Deutsch, Vdm Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
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.2010. 120 S.Versandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
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.2010. 120 S.Versandfertig in 3-5 Tagen, Softcover.
4
Data Mining Techniques and Its Application in Medical Imagery
DE PB NWISBN: 9783639267464 bzw. 363926746X, in Deutsch, Vdm Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
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.2010. 120 S.Versandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
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.2010. 120 S.Versandfertig in 3-5 Tagen, Softcover.
5
Data Mining Techniques and Its Application in Medical Imagery
~DE NW ABISBN: 9783639267464 bzw. 363926746X, vermutlich in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, neu, Hörbuch.
Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
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.
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.
6
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Data Mining Techniques Its Application in Medical Imagery (2014)
DE PB NWISBN: 9783639267464 bzw. 363926746X, in Deutsch, BLUES KIDS OF AMER 01/12/2014, Taschenbuch, neu.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, United Kingdom.
New Book. Shipped from UK. This item is printed on demand.
New Book. Shipped from UK. This item is printed on demand.
7
Data Mining Techniques and Its Application in Medical Imagery (2010)
~EN PB NW RPISBN: 9783639267464 bzw. 363926746X, vermutlich in Englisch, VDM Verlag Dr. Müller, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung für Sie gedruckt. This monograph presents a study on data mining techniques and its application in medical image analysis for cancer detection. An extensive survey and comparativ, Books.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung für Sie gedruckt. This monograph presents a study on data mining techniques and its application in medical image analysis for cancer detection. An extensive survey and comparativ, Books.
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