real time pattern recognition di desai samir (7 risultati)

Paperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Paperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Taschenbuch. Condizione: 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.

Taschenbuch. Condizione: Neu. Real Time Pattern Recognition Algorithm | Classification Algorithm | Samir Desai | Taschenbuch | 72 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847302506 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: 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.

Condizione: 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.

Taschenbuch. Condizione: 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.