Efficient Mining Of Emerging Patterns In Time Series Stock Data

Mukesh Kumar

ISBN 10: 3330039442 / ISBN 13: 9783330039445

Published by LAP LAMBERT Academic Publishing Feb 2017, 2017

About this Item

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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 224 pp. Englisch. Seller Inventory # 9783330039445

Bibliographic Details

Title: Efficient Mining Of Emerging Patterns In ...

Publisher: LAP LAMBERT Academic Publishing Feb 2017

Publication Date: 2017

Binding: Taschenbuch

Condition: Neu

About this title

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.

About the Author:

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.