ERPCA: A Novel Approach for Risk Evaluation of Multidimensional Risk Prediction Clustering Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 10
Abstract
Clustering is a data mining technique used to place data elements into related groups without advance knowledge of the group definitions. In this paper clustering is employed to support efficient decision making by clustering mass storage data available in banks. Risk assessment is important task of Banks, as the failure and success of the Bank depends largely on banks’ ability to evaluate the risk properly. The key problem consists of distinguishing, salubrious (good) and delinquent (bad) customers. Using a novel approach is proposed for risk evaluation of multidimensional risk prediction clustering algorithm (ERPCA). A risk evaluation process is used to determine the good and bad loan applicants. Feature subsets extraction is laid down on the multidimensional data using Information gain technique, to select the valuable attributes. Rules formation is done for each type of loans to avoid redundancy. In order to increase the accuracy of risk computation the risk assessment is performed in two levels, primary and secondary. This method allows for finding percentage of risk to determine whether loan can be sanctioned to a customer or not. This paper mainly concentrates on the clustering of the multidimensional data for efficient risk prediction.
Authors and Affiliations
K. Kala , Dr. E. Ramaraj
An Efficient Automatic Attendance System using Fingerprint Verification Technique
Abstract— The main aim of this paper is to develop an accurate, fast and very efficient automatic attendance system using fingerprint verification technique. We propose a system in which fingerprint verification is done...
Q-Value Based Particle Swarm Optimization for Reinforcement Neuro-Fuzzy System Design
This paper proposes a combination of particle swarm optimization (PSO) and Q-value based safe reinforcement learning scheme for neuro-fuzzy systems (NFS). The proposed Q-value based particle swarm optimization (QPSO) ful...
FCE: A QUALITY METRIC FOR COTS BASED SOFTWARE DESIGN
The software that is based on component is aimed at veloping large software systems thorough combining the xisting software components. Before integrate different omponents, first one need to identify whether functio...
Technical challenges and Constraints for Spectrum Planning in GSM networks
GSM is the most widespread, most commonly deployed and fastest growing system standard for mobile telephony in the world. Even though UMTS, the third generation mobile system has entered the market. Network quality of se...
Ontology-based Semantic Search Engine for Healthcare Services
With the development of Web Services, the retrieval of relevant services has become a challenge. The keyword-based discovery mechanism using UDDI and WSDL is insufficient due to the retrieval of a large amount of irrelev...