Fuzzy based Integrated scheme for Uncertainty Reduction in Data mining Tasks using GA and ACO
Author(s):
Dr.K.Sankar
Keywords:
ACS, SDM, FCM, ACO
Abstract
Ant Colony System (ACS) is competitive with other nature-inspired algorithms on some relatively simple problems. This project proposes an ant colony optimization algorithm for tuning generalization of fuzzy rule. The use of Ant Colony Optimization (ACO) for classification is investigated in depth, with the development of the AntMiner+ algorithm. AntMiner+ builds rule based classifiers, with a focus on the predictive accuracy and comprehensibility of the final models. The key differences between the proposed AntMiner+ and previous AntMiner versions are the usage of the better performing MAX-MIN ant system, a clearly defined and augmented environment for the ants to walk through, with the inclusion of the class variable to handle multi-class problems, and the ability to include interval rules in the rule list. Ant system is a general purpose algorithm inspired by the study of behavior of ant colonies. It is based on cooperative search paradigm that is applicable to the solution of combinatorial optimization problem. The institutions concern the routing network studies the application of data mining techniques for network traffic risk analysis. The proposed work aims at spatial feature of the traffic load and demand requirements and their interaction with the geo routing environment. In previous work, the system has implemented some spatial data mining methods such as generalization and characterization. The proposal of this work uses intelligent ant agent to evaluate the search space of the network traffic risk analysis along with usage of genetic algorithm for risk pattern.
Article Details
Unique Paper ID: 152601

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 938 - 944
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies