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100%: Swetha Reddy Allam/ Kotagiri Santhosh: Survey on Distributed Data Mining Systems (ISBN: 9783656929611) 2015, in Englisch.Nur diese Ausgabe anzeigen…
58%: Swetha Reddy Allam/ Kotagiri Santhosh: Survey on Distributed Data Mining Systems (ISBN: 9783656929604) 2014, in Deutsch, auch als eBook.Nur diese Ausgabe anzeigen…
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Bester Preis: € 4,05 (vom 02.04.2016)1
Survey on Distributed Data Mining Systems
DE PB NWISBN: 9783656929611 bzw. 3656929610, in Deutsch, Grin Verlag Grin Verlag Gmbh, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm.2015. 12 S. 210 mmSofort lieferbar, Softcover.
buecher.de GmbH & Co. KG, [1].
Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm.2015. 12 S. 210 mmSofort lieferbar, Softcover.
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Survey on Distributed Data Mining Systems (2015)
DE PB NW RPISBN: 9783656929611 bzw. 3656929610, in Deutsch, GRIN Verlag Gmbh Mrz 2015, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm. 12 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm. 12 pp. Englisch.
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Survey on Distributed Data Mining Systems (Paperback) (2015)
DE PB NWISBN: 9783656929611 bzw. 3656929610, in Deutsch, GRIN Verlag GmbH, United States, Taschenbuch, neu.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book. Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm.
Language: English Brand New Book. Scientific Essay from the year 2014 in the subject Computer Science - Applied, grade: A, University of North Texas (Department of Computer Science), course: Distributed and Parallel Databases, language: English, abstract: With the increase in the usage of databases in various fields and domains, to overcome the challenges in a centralized data mining environment, more and more databases are distributed in networks. The objective of distributed data mining is to perform data mining operations based on the type and availability of distributed resources. To make a proper choice of a particular DDM system/model, the basic differences between each of them must be understood. This paper produces a survey of some of the DDM systems available. It mainly focusses on the homogeneous DDM models. It discusses methods based on semantic web and grid, multi-agent, mobile agent and i-Analyst. A hybrid method AGrIP is also discussed. A comparative analysis is made considering different key issues of DDM. Each method is described in detail by its method/algorithm.
4
Symbolbild
Survey on Distributed Data Mining Systems (2015)
DE NW RPISBN: 9783656929611 bzw. 3656929610, in Deutsch, Grin Verlag Gmbh, neu, Nachdruck.
Von Händler/Antiquariat, PBShop [61989342], Secaucus, NJ, U.S.A.
New Book.Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000.
New Book.Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000.
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Survey on Distributed Data Mining Systems (2015)
DE NW RPISBN: 9783656929611 bzw. 3656929610, in Deutsch, Grin Verlag Gmbh, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000.
New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000.
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Survey on Distributed Data Mining Systems
DE NWISBN: 9783656929604 bzw. 3656929602, in Deutsch, neu.
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Survey on Distributed Data Mining Systems
~EN HC NWISBN: 3656929610 bzw. 9783656929611, vermutlich in Englisch, GRIN Publishing, gebundenes Buch, neu.
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Survey on Distributed Data Mining Systems
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Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Survey on Distributed Data Mining Systems (2014)
DE NW EB DLISBN: 9783656929604 bzw. 3656929602, in Deutsch, GRIN Verlag, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Survey on Distributed Data Mining Systems (2015)
~EN NWISBN: 9783656929611 bzw. 3656929610, vermutlich in Englisch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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