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Synopsis
This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors.
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About the Author
Bc. et Bc. Viktor Nekvapil: Studied International Trade and Informatics at the University of Economics, Prague. Currently, he studies Information Technologies at the same university. E-mail:
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Data Mining in the Medical Domain
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LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3838398181
ISBN 13: 9783838398181
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors. 72 pp. Englisch. Seller Inventory # 9783838398181
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Data Mining in the Medical Domain
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nekvapil ViktorBc. et Bc. Viktor Nekvapil: Studied International Trade and Informatics at the University of Economics, Prague. Currently, he studies Information Technologies at the same university. E-mail: Seller Inventory # 5420032
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Data Mining in the Medical Domain : Using the Ac4ft-Miner Procedure
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838398181
ISBN 13: 9783838398181
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors. Seller Inventory # 9783838398181
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Data Mining in the Medical Domain
Published by
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3838398181
ISBN 13: 9783838398181
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9783838398181
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Data Mining in the Medical Domain | Using the Ac4ft-Miner Procedure
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ISBN 10: 3838398181
ISBN 13: 9783838398181
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Taschenbuch. Condition: Neu. Data Mining in the Medical Domain | Using the Ac4ft-Miner Procedure | Viktor Nekvapil | Taschenbuch | 72 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838398181 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107263946
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Data Mining in the Medical Domain : Using the Ac4ft-Miner Procedure
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838398181
ISBN 13: 9783838398181
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors. Seller Inventory # 9526176/1
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