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Real Time Pattern Recognition Algorithm: Classification Algorithm - Softcover

 
9783847302506: Real Time Pattern Recognition Algorithm: Classification Algorithm

Inhaltsangabe

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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Zustand: 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 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 Temp. Bestandsnummer des Verkäufers 5508636

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Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Bestandsnummer des Verkäufers 9783847302506

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783847302506

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 72 pp. Englisch. Bestandsnummer des Verkäufers 9783847302506

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Paperback. Zustand: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Bestandsnummer des Verkäufers 3847302507

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