Articles liés à Data Mining Techniques in Tracing the Trends of Business
Synopsis
Data mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in database, data warehouse, or other information repositories; Because it is an emerging discipline, many challenges remain in data mining. Due to large volume of data acquired on an everyday basis, it becomes imperative to find an algorithm that determines the technique to select and type of mining to do. Data sets are often inaccurate, incomplete, and/or have redundant or insufficient information. It would be desirable to have mining tools that can switch to multiple techniques and support multiple outcomes. The book contains an excellent detail of data mining techniques and applications, business trends, forecast analysis, instance selection and how to improve the trading rules. The book focuses on the application of data mining techniques such Error Correction Network (ECN), Artificial Neural Network (ANN) and Genetic Algorithm (GA). This book mainly focuses on applications of data mining techniques in tracing the trends of business patterns in telecommunication, stock market returns, instances selection and trading rules.
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À propos de l'auteur
Dr. B. Manjula is working as Assistant Professor of Computer Science at Kakatiya University, Warangal, India. She has her credit more than 10 years of experience as a teacher and researcher. She has contributed many research papers in reputed journals and published articles at national and international conferences.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data Mining Techniques in Tracing the Trends of Business
Edité par
LAP Lambert Academic Publishing Jan 2016, 2016
ISBN 10 : 3659821470
ISBN 13 : 9783659821479
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in database, data warehouse, or other information repositories; Because it is an emerging discipline, many challenges remain in data mining. Due to large volume of data acquired on an everyday basis, it becomes imperative to find an algorithm that determines the technique to select and type of mining to do. Data sets are often inaccurate, incomplete, and/or have redundant or insufficient information. It would be desirable to have mining tools that can switch to multiple techniques and support multiple outcomes. The book contains an excellent detail of data mining techniques and applications, business trends, forecast analysis, instance selection and how to improve the trading rules. The book focuses on the application of data mining techniques such Error Correction Network (ECN), Artificial Neural Network (ANN) and Genetic Algorithm (GA). This book mainly focuses on applications of data mining techniques in tracing the trends of business patterns in telecommunication, stock market returns, instances selection and trading rules. 148 pp. Englisch. N° de réf. du vendeur 9783659821479
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Data Mining Techniques in Tracing the Trends of Business
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659821470
ISBN 13 : 9783659821479
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in database, data warehouse, or other information repositories; Because it is an emerging discipline, many challenges remain in data mining. Due to large volume of data acquired on an everyday basis, it becomes imperative to find an algorithm that determines the technique to select and type of mining to do. Data sets are often inaccurate, incomplete, and/or have redundant or insufficient information. It would be desirable to have mining tools that can switch to multiple techniques and support multiple outcomes. The book contains an excellent detail of data mining techniques and applications, business trends, forecast analysis, instance selection and how to improve the trading rules. The book focuses on the application of data mining techniques such Error Correction Network (ECN), Artificial Neural Network (ANN) and Genetic Algorithm (GA). This book mainly focuses on applications of data mining techniques in tracing the trends of business patterns in telecommunication, stock market returns, instances selection and trading rules. N° de réf. du vendeur 9783659821479
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Data Mining Techniques in Tracing the Trends of Business
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659821470
ISBN 13 : 9783659821479
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bairam ManjulaDr. B. Manjula is working as Assistant Professor of Computer Science at Kakatiya University, Warangal, India. She has her credit more than 10 years of experience as a teacher and researcher. She has contributed many res. N° de réf. du vendeur 158124492
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Data Mining Techniques in Tracing the Trends of Business
Edité par
LAP LAMBERT Academic Publishing Jan 2016, 2016
ISBN 10 : 3659821470
ISBN 13 : 9783659821479
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in database, data warehouse, or other information repositories; Because it is an emerging discipline, many challenges remain in data mining. Due to large volume of data acquired on an everyday basis, it becomes imperative to find an algorithm that determines the technique to select and type of mining to do. Data sets are often inaccurate, incomplete, and/or have redundant or insufficient information. It would be desirable to have mining tools that can switch to multiple techniques and support multiple outcomes. The book contains an excellent detail of data mining techniques and applications, business trends, forecast analysis, instance selection and how to improve the trading rules. The book focuses on the application of data mining techniques such Error Correction Network (ECN), Artificial Neural Network (ANN) and Genetic Algorithm (GA). This book mainly focuses on applications of data mining techniques in tracing the trends of business patterns in telecommunication, stock market returns, instances selection and trading rules.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. N° de réf. du vendeur 9783659821479
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Data Mining Techniques in Tracing the Trends of Business
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659821470
ISBN 13 : 9783659821479
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Data Mining Techniques in Tracing the Trends of Business | Manjula Bairam | Taschenbuch | 148 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659821479 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104013515
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