Title :
Experiments on Selection of Pre-processing Method for Performance Augmentation of Classifier
Author :
Katkar, D. Vijay ; Almas, A.K. ; Kajal, Jaiswal
Author_Institution :
Dept. of Inf. Technol., Pimpri Chinchwad Coll. of Eng., Pune, India
Abstract :
Business and Research organizations are continuously generating huge amount of high dimensional data. They need to analyze this data in real-time with minimum cost. Data pre-processing techniques in combination with dimensionality reduction techniques are widely used by researchers to improve the quality of data and reduce the time, cost required to analyze the data. But standard methods are not available to select the combination of data pre-processing and feature selection techniques. This paper presents a novel method for selecting combination of pre-processing and feature selection method. Experimental results are provided to support the efficiency of proposed mechanism.
Keywords :
data analysis; feature selection; pattern classification; business organizations; classifier; data pre-processing techniques; data quality; dimensionality reduction techniques; feature selection techniques; high dimensional data; performance augmentation; research organizations; Accuracy; Algorithm design and analysis; Bayes methods; Classification algorithms; Feature extraction; Training; Vegetation; Data Mining; Data pre-processing; Feature selection;
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/ICCUBEA.2015.94
