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Stock Market Pattern Recognition Algorithm

Autor Samir Desai
en Limba Engleză Paperback – 7 mar 2012
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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Specificații

ISBN-13: 9783848431625
ISBN-10: 3848431629
Pagini: 64
Dimensiuni: 152 x 229 x 4 mm
Greutate: 0.1 kg
Editura: LAP LAMBERT ACADEMIC PUBLISHING AG & CO KG
Colecția LAP Lambert Academic Publishing

Notă biografică

Mr. Desai Samir Lalitkumar had obtained MS (M.tech)-Computer science engineer in 2010. He had done research based project at Indian Institute of Management-Ahmedabad,India. Since then he has research worked on various Temporal Data mining Algorithm in the field of Data mining. He is a member of international working group.