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DATA MINING METHODOLOGY DEVELOPMENT: CLASSIFICATION CASE STUDY ON MARS CRATERS DETECTION AND VISUALIZATION ANALYSIS USING SAMMON'S MAPPING - Couverture souple
Synopsis
Data Mining is a tool that extracts useful and novel patterns from great amounts of data. It usually involves 4 tasks: Classification, Clustering, Association Rule Learning, and Regression. Two major branches of research are addressed in this book. In the first chapter several Classification methods are applied on a real-world data set, the Mars crater data set. The goal of this case study is to improve the accuracy of the crater detection on the remote sensing images of Mars. In the second chapter Sammon's Mapping method is studied and improved. Sammon's Mapping is a projection method which simulates the high-dimension space to a low- dimension one. The motivation of this project is to visualize the internal struture of a data set and facilitate the clustering operation on the data set. After the low-dimension Sammon's Mapped space has been created the number of clusters can be observed. An external measurement of the Clustering result is also implemented in the project. This measurement objectively shows the accuracy of Clustering. With all the steps to implement the Sammon's Mapping, a pipeline is established.
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Présentation de l'éditeur
Data Mining is a tool that extracts useful and novel patterns from great amounts of data. It usually involves 4 tasks: Classification, Clustering, Association Rule Learning, and Regression. Two major branches of research are addressed in this book. In the first chapter several Classification methods are applied on a real-world data set, the Mars crater data set. The goal of this case study is to improve the accuracy of the crater detection on the remote sensing images of Mars. In the second chapter Sammon's Mapping method is studied and improved. Sammon's Mapping is a projection method which simulates the high-dimension space to a low- dimension one. The motivation of this project is to visualize the internal struture of a data set and facilitate the clustering operation on the data set. After the low-dimension Sammon's Mapped space has been created the number of clusters can be observed. An external measurement of the Clustering result is also implemented in the project. This measurement objectively shows the accuracy of Clustering. With all the steps to implement the Sammon's Mapping, a pipeline is established.
Biographie de l'auteur
Jue Wang was born in Shanghai, China. She received the M.S. Degree in Computer Science from University of Massachusetts Boston, USA. During the time in the graduate school, she organized an association, Women in Science, to encourage the female students in science domains. Her research interests include data mining and machine learning.
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DATA MINING METHODOLOGY DEVELOPMENT
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LAP LAMBERT Academic Publishing Nov 2010, 2010
ISBN 10 : 3843364737
ISBN 13 : 9783843364737
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Mining is a tool that extracts useful and novel patterns from great amounts of data. It usually involves 4 tasks: Classification, Clustering, Association Rule Learning, and Regression. Two major branches of research are addressed in this book. In the first chapter several Classification methods are applied on a real-world data set, the Mars crater data set. The goal of this case study is to improve the accuracy of the crater detection on the remote sensing images of Mars. In the second chapter Sammon's Mapping method is studied and improved. Sammon's Mapping is a projection method which simulates the high-dimension space to a low- dimension one. The motivation of this project is to visualize the internal struture of a data set and facilitate the clustering operation on the data set. After the low-dimension Sammon's Mapped space has been created the number of clusters can be observed. An external measurement of the Clustering result is also implemented in the project. This measurement objectively shows the accuracy of Clustering. With all the steps to implement the Sammon's Mapping, a pipeline is established. 104 pp. Englisch. N° de réf. du vendeur 9783843364737
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DATA MINING METHODOLOGY DEVELOPMENT
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843364737
ISBN 13 : 9783843364737
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wang JueJue Wang was born in Shanghai, China. She received the M.S. Degree in Computer Science from University of Massachusetts Boston, USA. During the time in the graduate school, she organized an association, Women in Science,. N° de réf. du vendeur 5466423
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DATA MINING METHODOLOGY DEVELOPMENT
Edité par
LAP LAMBERT Academic Publishing Nov 2010, 2010
ISBN 10 : 3843364737
ISBN 13 : 9783843364737
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining is a tool that extracts useful and novel patterns from great amounts of data. It usually involves 4 tasks: Classification, Clustering, Association Rule Learning, and Regression. Two major branches of research are addressed in this book. In the first chapter several Classification methods are applied on a real-world data set, the Mars crater data set. The goal of this case study is to improve the accuracy of the crater detection on the remote sensing images of Mars. In the second chapter Sammon''s Mapping method is studied and improved. Sammon''s Mapping is a projection method which simulates the high-dimension space to a low- dimension one. The motivation of this project is to visualize the internal struture of a data set and facilitate the clustering operation on the data set. After the low-dimension Sammon''s Mapped space has been created the number of clusters can be observed. An external measurement of the Clustering result is also implemented in the project. This measurement objectively shows the accuracy of Clustering. With all the steps to implement the Sammon''s Mapping, a pipeline is established.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. N° de réf. du vendeur 9783843364737
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DATA MINING METHODOLOGY DEVELOPMENT : CLASSIFICATION CASE STUDY ON MARS CRATERS DETECTION AND VISUALIZATION ANALYSIS USING SAMMON''S MAPPING
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843364737
ISBN 13 : 9783843364737
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining is a tool that extracts useful and novel patterns from great amounts of data. It usually involves 4 tasks: Classification, Clustering, Association Rule Learning, and Regression. Two major branches of research are addressed in this book. In the first chapter several Classification methods are applied on a real-world data set, the Mars crater data set. The goal of this case study is to improve the accuracy of the crater detection on the remote sensing images of Mars. In the second chapter Sammon's Mapping method is studied and improved. Sammon's Mapping is a projection method which simulates the high-dimension space to a low- dimension one. The motivation of this project is to visualize the internal struture of a data set and facilitate the clustering operation on the data set. After the low-dimension Sammon's Mapped space has been created the number of clusters can be observed. An external measurement of the Clustering result is also implemented in the project. This measurement objectively shows the accuracy of Clustering. With all the steps to implement the Sammon's Mapping, a pipeline is established. N° de réf. du vendeur 9783843364737
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DATA MINING METHODOLOGY DEVELOPMENT: CLASSIFICATION CASE STUDY ON MARS CRATERS DETECTION AND VISUALIZATION ANALYSIS USING SAMMON*S MAPPING
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ISBN 10 : 3843364737
ISBN 13 : 9783843364737
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