Real Time Pattern Recognition Algorithm: Classification Algorithm - Tapa blanda

Desai, Samir

 
9783847302506: Real Time Pattern Recognition Algorithm: Classification Algorithm
Tapa blanda
ISBN 10: 3847302507 ISBN 13: 9783847302506
Editorial: LAP LAMBERT Academic Publishing, 2011

Sinopsis

Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Real time Pattern recognition is a very active research area which overlaps with various other research fields such as Machine Learning, Artificial Intelligence, 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 the process of extracting patterns from data. 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. Different classifier method has been analyzed. First, in this project we are interested in the comparison of the quality of different mining algorithms.

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Reseña del editor

Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Real time Pattern recognition is a very active research area which overlaps with various other research fields such as Machine Learning, Artificial Intelligence, 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 the process of extracting patterns from data. 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. Different classifier method has been analyzed. First, in this project we are interested in the comparison of the quality of different mining algorithms.

Biografía del autor

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.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3847302507
ISBN 13 
9783847302506
Encuadernación
Tapa blanda
Número de páginas
72
Contacto del fabricante
no disponible
Persona responsable
no disponible