Knowledge Discovery in Spatial Data - Couverture souple

Leung, Yee

9783642261701: Knowledge Discovery in Spatial Data

Couverture souple

ISBN 10 : 3642261701 ISBN 13 : 9783642261701

Editeur : Springer, 2012

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When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.

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Pr�sentation de l'�diteur

Dealing with knowledge discovery and data mining in spatial and temporal data, this book seeks to present novel methods that can be employed to discover spatial structures and processes in complex data. Numerical examples and applications are used throughout.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3642261701
ISBN 13: 9783642261701
Reliure: Broch�
Nombre de pages: 392
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Knowledge Discovery in Spatial Data

Yee Leung

Edit� par Springer Berlin Heidelberg, 2012

ISBN 10 : 3642261701 ISBN 13 : 9783642261701

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered . N� de r�f. du vendeur 5054242

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Knowledge Discovery in Spatial Data

Yee Leung

Edit� par Springer Berlin Heidelberg, 2012

ISBN 10 : 3642261701 ISBN 13 : 9783642261701

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. N� de r�f. du vendeur 9783642261701

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Knowledge Discovery in Spatial Data

Yee Leung

Edit� par Springer Berlin Heidelberg Mrz 2012, 2012

ISBN 10 : 3642261701 ISBN 13 : 9783642261701

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: 'the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data' is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis. 392 pp. Englisch. N� de r�f. du vendeur 9783642261701

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Knowledge Discovery in Spatial Data

Yee Leung

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg M�r 2012, 2012

ISBN 10 : 3642261701 ISBN 13 : 9783642261701

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -When I rst came across the term data mining and knowledge discovery in databases, I was excited and curious to nd out what it was all about. I was excited because the term tends to convey a new eld that is in the making. I was curious because I wondered what it was doing that the other elds of research, such as statistics and the broad eld of arti cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de nition of knowledge discovery in databases: �the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in dat� is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch. N� de r�f. du vendeur 9783642261701

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