Efficient Mining Of Emerging Patterns In Time Series Stock Data: A Prediction Model - Couverture souple

Kumar, Mukesh; Kalia, Arvind

 
9783330039445: Efficient Mining Of Emerging Patterns In Time Series Stock Data: A Prediction Model
Couverture souple
ISBN 10 : 3330039442 ISBN 13 : 9783330039445
Editeur : LAP LAMBERT Academic Publishing, 2017

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

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.

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
2017
Langue
anglais
ISBN 10 
3330039442
ISBN 13 
9783330039445
Reliure
Broché
Nombre de pages
224
Coordonnées du fabricant
non disponible
Personne responsable
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