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 119
- Downloads 0
Customers Churn Prediction using Artificial Neural Networks (ANN) in Telecom Industry
To survive in the fierce competition of telecommunication industry and to retain the existing loyal customers, prediction of potential churn customer has become a crucial task for practitioners and academicians through p...
Towards Secure Risk-Adaptable Access Control in Cloud Computing
The emergence of pervasive cloud computing has supported the transition of physical data and machine into virtualization environment. However, security threat and privacy have been identified as a challenge to support th...
A Survey of Emergency Preparedness
Emergency preparedness is a discipline that harnesses technology, citizens, and government agencies to handle and potentially avoid natural disasters and emergencies. In this paper, a survey of the use of information tec...
A Literature Review on Medicine Recommender Systems
Medicine recommender systems can assist the medical care providers with the selection of an appropriate medication for the patients. The advanced technologies available nowadays can help developing such recommendation sy...
Impact of Privacy Issues on Smart City Services in a Model Smart City
With the recent technological development, there is prevalent trend for smart infrastructure deployment with intention to provide smart services for inhabitants. City governments of current era are under huge pressure to...