Stock Market Pattern Recognition Algorithm: Classification Algorithm - Couverture souple

Desai, Samir

 
9783848431625: Stock Market Pattern Recognition Algorithm: Classification Algorithm
Couverture souple
ISBN 10 : 3848431629 ISBN 13 : 9783848431625
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Data mining is the process of extracting patterns from data. Stock Market Pattern recognition is a very active research area which overlaps with various other research fields such as Machine Learning,Data Mining, Probability Theory, Algebra and Calculus. In recent years the concept of data mining has emerged as one of them. The main focus of the experiment is on the mining algorithms to analyze a much accurate and efficient algorithm. Data mining is becoming an increasingly important tool to transform these data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Time series is used for prediction for value. Different classifier method has been analyzed. First, in this project we are interested in the comparison of the quality of different mining algorithms.Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases.

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Présentation de l'éditeur

Data mining is the process of extracting patterns from data. Stock Market Pattern recognition is a very active research area which overlaps with various other research fields such as Machine Learning,Data Mining, Probability Theory, Algebra and Calculus. In recent years the concept of data mining has emerged as one of them. The main focus of the experiment is on the mining algorithms to analyze a much accurate and efficient algorithm. Data mining is becoming an increasingly important tool to transform these data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Time series is used for prediction for value. Different classifier method has been analyzed. First, in this project we are interested in the comparison of the quality of different mining algorithms.Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases.

Biographie de l'auteur

MR. Desai Samir Lalitkumar had obtained Mtech Computer Science degree in 2010. He had done Research based Project at Indian Institute of Management-Ahmedabad,India. Since then he has work on various data mining algorithm for stock market,health,iris etc. dataset. He is a Member of International group.

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
2012
Langue
anglais
ISBN 10 
3848431629
ISBN 13 
9783848431625
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
Personne responsable
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