A Hybrid Framework using RBF and SVM for Direct Marketing
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 4
Abstract
One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate component classifiers. This paper addresses using an ensemble of classification methods for direct marketing. Direct marketing has become an important application field for data mining. In direct marketing, companies or organizations try to establish and maintain a direct relationship with their customers in order to target them individually for specific product offers or for fund raising. A variety of techniques have been employed for analysis ranging from traditional statistical methods to data mining approaches. In this research work, new hybrid classification method is proposed by combining classifiers in a heterogeneous environment using arcing classifier and their performances are analyzed in terms of accuracy. A Classifier ensemble is designed using Radial Basis Function (RBF) and Support Vector Machine (SVM) as base classifiers. Here, modified training sets are formed by resampling from original training set; classifiers constructed using these training sets and then combined by voting. Empirical results illustrate that the proposed hybrid systems provide more accurate direct marketing system.
Authors and Affiliations
M. Govidarajan
Keywords
Related Articles
- EP ID EP98569
- DOI 10.14569/IJACSA.2013.040419
- Views 127
- Downloads 0
Design of Strategic Management System for Northern Border University using Unified Modeling Language
All organizations engage in the strategy management process either formally or informally. Strategy management is used to refer to the entire scope of strategic-decision making activity in an organization to ensure its c...
Three Layer Hierarchical Model for Chord
Increasing popularity of decentralized Peer-to-Peer (P2P) architecture emphasizes on the need to come across an overlay structure that can provide efficient content discovery mechanism, accommodate high churn rate and ad...
Plant Leaf Recognition using Shape based Features and Neural Network classifiers
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images corresponding to three plant types, are analyzed using two different shape modeling techniques, the first base...
Proposed Hyperchaotic System for Image Encryption
This paper presents a new hyper chaos system based on Hénon and Logistic maps which provides characteristics of high capacity, security and efficiency. The Proposed hyper chaos system is employed to generate the key for...
Novel Carrier based PWM Techniques Reduce Common Mode Voltage for Six Phase Induction Motor Drives
This paper proposes a novel pulse width modulation (CBPWM) technique for reducing the common mode voltage for a six-phase induction motor (SPIM) drive. This proposed CBPWM technique relies on setting up offset functions...