Real Time Pattern Recognition Algorithm : Classification Algorithm

Samir Desai

ISBN 10: 3847302507 / ISBN 13: 9783847302506

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

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.

Seller Inventory # 9783847302506

Bibliographic Details

• Title: Real Time Pattern Recognition Algorithm : Classification Algorithm
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3847302507
• ISBN 13: 9783847302506
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams

About this title

Synopsis

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.

About the Author

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.