Supervised Learning Approach for Spam Classification Analysis using Data Mining Tools
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 8
Abstract
E-mail is one of the most popular and frequently used ways of communication due to its worldwide accessibility, relatively fast message transfer, and low sending cost. The flaws in the e-mail protocols and the increasing amount of electronic business and financial transactions directly contribute to the increase in e-mail-based threats. Email spam is one of the major problems of the today’s Internet, bringing financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is the one of the most important technique. Many researches in spam filtering have been centered on the more sophisticated lassifierrelated issues. In recent days, Machine learning for pam classification is an important research issue. This paper explores and identifies the use of different learning algorithms for classifying spam messages from e-mail. A comparative analysis among the algorithms has also been presented.
Authors and Affiliations
R. Deepa Lakshmi , N. Radha
Keywords
Related Articles
- EP ID EP102736
- DOI -
- Views 147
- Downloads 0
Fault tolerant workflow scheduling based on replication and resubmission of tasks in Cloud Computing
The aim of workflow scheduling system is to schedule the workflows within the user given deadline to achieve a good success rate. Workflow is a set of tasks processed in a predefined order based on its data and control d...
Identification and Removal of Impulsive noise using Hypergraph Model
Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image,...
Fuzzy Logic Based Decision Making for Customer Loyalty Analysis and Relationship Management
This paper presents customer loyalty analysis and relationship management by incorporating fuzzy logic approach. We employ a case study of Jane and Juliet supermarket located in Uyo, Akwa Ibom State in Nigeria, where dat...
General Framework for Cluster based Active Learning Algorithm
This paper revisits the problem of active learning and decision making when the cost of labeling incurs cost and unlabeled data is available in abundance. In many real world applications large amounts of data are availab...
Cost Effective Cloud Environment Setup to Secure Corporate Data
In recent years ad-hoc parallel processing has emerged to be one among the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing firms have began to integrate frameworks for parallel pr...