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Sinopsis
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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Reseña del editor
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.
Biografía del autor
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.
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Stock Market Pattern Recognition Algorithm Classification Algorithm
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848431629
ISBN 13: 9783848431625
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Stock Market Pattern Recognition Algorithm: Classification Algorithm
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848431629
ISBN 13: 9783848431625
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Stock Market Pattern Recognition Algorithm Classification Algorithm
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ISBN 10: 3848431629
ISBN 13: 9783848431625
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Stock Market Pattern Recognition Algorithm: Classification Algorithm
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ISBN 13: 9783848431625
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Stock Market Pattern Recognition Algorithm
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ISBN 13: 9783848431625
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Desai SamirMR. 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 f. Nº de ref. del artículo: 5521706
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Stock Market Pattern Recognition Algorithm : Classification Algorithm
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ISBN 13: 9783848431625
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783848431625
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Stock Market Pattern Recognition Algorithm
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LAP Lambert Academic Publishing 2012-03, 2012
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Stock Market Pattern Recognition Algorithm: Classification Algorithm
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Stock Market Pattern Recognition Algorithm: Classification Algorithm
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ISBN 13: 9783848431625
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