DATA MINING METHODOLOGY DEVELOPMENT: CLASSIFICATION CASE STUDY ON MARS CRATERS DETECTION AND VISUALIZATION ANALYSIS USING SAMMON'S MAPPING - Couverture souple

Wang, Jue

 
9783843364737: DATA MINING METHODOLOGY DEVELOPMENT: CLASSIFICATION CASE STUDY ON MARS CRATERS DETECTION AND VISUALIZATION ANALYSIS USING SAMMON'S MAPPING
Couverture souple
ISBN 10 : 3843364737 ISBN 13 : 9783843364737
Editeur : LAP LAMBERT Academic Publishing, 2010

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843364737
ISBN 13 
9783843364737
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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9781244690684: Data Mining Methodology Development: Classification Case Study on Mars Craters Detection and Visualization Analysis Using Sammon's Mapping

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ISBN 10 :  1244690686 ISBN 13 :  9781244690684
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Couverture souple