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Efficient Mining Of Emerging Patterns In Time Series Stock Data: A Prediction Model - Couverture souple
Synopsis
Data mining involves the use of different data analysis tools to find unknown patterns and relationships in large data sets. These tools could include statistical and mathematical models, and machine learning tools. The trading in a stock market involves understanding of various techniques and relevant methodology. Trend analysis and prediction played a vital role in practical stock trading. The data mining researchers have put in great efforts to generate rules and the emphasis was always to generate an optimal number of rules so that an emerging pattern could be identified. It explores the modeling of data mining techniques along with the technical analysis approach. The broad objectives of the book is to provide a framework of a model on the basis of data mining concepts and chart analysis feature of evaluation of the movement of stock market. These two techniques i.e. data mining and chart analysis are explored to have efficiency, accuracy and reliability to determine the parameters for developing a model. Performance metrics were used to ascertain the accuracy level and an error level. A model was proposed and a comparison with existing systems was carried out.
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Présentation de l'éditeur
Data mining involves the use of different data analysis tools to find unknown patterns and relationships in large data sets. These tools could include statistical and mathematical models, and machine learning tools. The trading in a stock market involves understanding of various techniques and relevant methodology. Trend analysis and prediction played a vital role in practical stock trading. The data mining researchers have put in great efforts to generate rules and the emphasis was always to generate an optimal number of rules so that an emerging pattern could be identified. It explores the modeling of data mining techniques along with the technical analysis approach. The broad objectives of the book is to provide a framework of a model on the basis of data mining concepts and chart analysis feature of evaluation of the movement of stock market. These two techniques i.e. data mining and chart analysis are explored to have efficiency, accuracy and reliability to determine the parameters for developing a model. Performance metrics were used to ascertain the accuracy level and an error level. A model was proposed and a comparison with existing systems was carried out.
Biographie de l'auteur
Dr. Mukesh Kumar obtained his PhD degree in Computer Sciences from H.P.University, Shimla, India and is working as a Project Director (ERP) in H.P. University Shimla. His area of interest is Data Mining, Time Series Databases and Frequent Pattern Mining. He contributed various research papers in International Journals of repute.
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- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2017
- ISBN 10 3330039442
- ISBN 13 9783330039445
- ReliureBroché
- Langueanglais
- Nombre de pages224
- Coordonnées du fabricantnon disponible
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Efficient Mining Of Emerging Patterns In Time Series Stock Data
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330039442
ISBN 13 : 9783330039445
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: Kumar MukeshDr. Mukesh Kumar obtained his PhD degree in Computer Sciences from H.P.University, Shimla, India and is working as a Project Director (ERP) in H.P. University Shimla. His area of interest is Data Mining, Time Series Datab. N° de réf. du vendeur 151234111
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Efficient Mining Of Emerging Patterns In Time Series Stock Data : A Prediction Model
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330039442
ISBN 13 : 9783330039445
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 involves the use of different data analysis tools to find unknown patterns and relationships in large data sets. These tools could include statistical and mathematical models, and machine learning tools. The trading in a stock market involves understanding of various techniques and relevant methodology. Trend analysis and prediction played a vital role in practical stock trading. The data mining researchers have put in great efforts to generate rules and the emphasis was always to generate an optimal number of rules so that an emerging pattern could be identified. It explores the modeling of data mining techniques along with the technical analysis approach. The broad objectives of the book is to provide a framework of a model on the basis of data mining concepts and chart analysis feature of evaluation of the movement of stock market. These two techniques i.e. data mining and chart analysis are explored to have efficiency, accuracy and reliability to determine the parameters for developing a model. Performance metrics were used to ascertain the accuracy level and an error level. A model was proposed and a comparison with existing systems was carried out. N° de réf. du vendeur 9783330039445
Quantité disponible : 1 disponible(s)
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Efficient Mining Of Emerging Patterns In Time Series Stock Data
Edité par
LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10 : 3330039442
ISBN 13 : 9783330039445
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 involves the use of different data analysis tools to find unknown patterns and relationships in large data sets. These tools could include statistical and mathematical models, and machine learning tools. The trading in a stock market involves understanding of various techniques and relevant methodology. Trend analysis and prediction played a vital role in practical stock trading. The data mining researchers have put in great efforts to generate rules and the emphasis was always to generate an optimal number of rules so that an emerging pattern could be identified. It explores the modeling of data mining techniques along with the technical analysis approach. The broad objectives of the book is to provide a framework of a model on the basis of data mining concepts and chart analysis feature of evaluation of the movement of stock market. These two techniques i.e. data mining and chart analysis are explored to have efficiency, accuracy and reliability to determine the parameters for developing a model. Performance metrics were used to ascertain the accuracy level and an error level. A model was proposed and a comparison with existing systems was carried out. 224 pp. Englisch. N° de réf. du vendeur 9783330039445
Quantité disponible : 2 disponible(s)
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Efficient Mining Of Emerging Patterns In Time Series Stock Data: A Prediction Model
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330039442
ISBN 13 : 9783330039445
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 224 pages. 8.66x5.91x0.51 inches. In Stock. N° de réf. du vendeur 3330039442
Quantité disponible : 1 disponible(s)