An Intelligent Agent based Architecture for Visual Data Mining
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
the aim of this paper is to present an intelligent architecture of Decision Support System (DSS) based on visual data mining. This architecture applies the multi-agent technology to facilitate the design and development of DSS in complex and dynamic environment. Multi-Agent Systems add a high level of abstraction. To validate the proposed architecture, it is implemented to develop a distributed visual data mining based DSS to predict nosocomial infectionsoccurrence in intensive care units. The developed prototype was evaluated to verify the architecture practicability.
Authors and Affiliations
Hamdi Ellouzi, Hela Ltifi, Mounir Ayed
Keywords
Related Articles
- EP ID EP133629
- DOI 10.14569/IJACSA.2016.070721
- Views 79
- Downloads 0
A Secure Electronic Transaction Payment Protocol Design and Implementation
Electronic payment is the very important step of the electronic business system, and its security must be ensured. SSL/TLS and SET are two widely discussed means of securing online credit card payments. Because of implem...
An Improvement of FA Terms Dictionary using Power Link and Co-Word Analysis
Information retrieval involves obtaining some wanted information in a database. In this paper, we used the power link to improve the extracted field association terms from corpus by the proposed algorithm to support the...
Water Quality Monitoring based on Small Satellite Technology
In order to improve the routine of water quality monitoring and reduce the risk of accidental or deliberate contaminations, this paper presents the development of in-situ water quality monitoring and analysis system base...
Heterogeneous Ensemble Pruning based on Bee Algorithm for Mammogram Classification
In mammogram, masses are primary indication of breast cancer; and it is necessary to classify them as malignant or benign. In this classification task, Computer Aided Diagnostic (CAD) system by using ensemble learning is...
A Comprehensive Evaluation of Weight Growth and Weight Elimination Methods Using the Tangent Plane Algorithm
The tangent plane algorithm is a fast sequential learning method for multilayered feedforward neural networks that accepts almost zero initial conditions for the connection weights with the expectation that only the mini...