Text database cleaning by filling the Missing values using Object Oriented Intelligent Multi-Agent System Data Cleaning Architecture
Journal Title: International Journal of Computer Science and Information Technologies - Year 2010, Vol 1, Issue 5
Abstract
Agents are software programs that perform tasks on behalf of others and they are used to clean the text database with their characteristics. Agents are task oriented with the ability to learn by themselves and they react to the situation. Learning characteristics of an agent is done by verifying its previous experience from its knowledgebase. An agent concept is a complementary approach to the Object Oriented paradigm with respect to the design and implementation of the autonomous entities driven by beliefs, goals and plans. Text database cleaning process detects and cleans the wrong data or duplicates data or missing data by identifying the outliers. Cleaning of Text Databases focuses on incomplete data cleaning. Incomplete data cleaning is performed using the attribute missing rate. Agents incorporated in the architectural design of a Text database cleaning process combines both the features of Multi-Agent System (MAS) Framework and MAS with learning (MAS-L) Framework. MAS framework reduces the development time and the complexity of implementing the software agents. MAS-L framework incorporates the intelligence and learning properties of agents present in the system. MAS-L Framework makes use of the Decision Tree learning and an evaluation function to decide the next best decision that applies to the machine learning technique. This paper proposes the design for Multi-Agent based Data Cleaning Architecture that incorporates the structural design of agents into object model. The Design of an architectural model for Multi-Agent based Data Cleaning inherits the features of the Multi-Agent System (MAS) and uses the MAS-L framework to design the intelligence and learning characteristics.
Authors and Affiliations
Dr. G. Arumugam , T. Joshva Devadas
Keywords
Related Articles
- EP ID EP129378
- DOI -
- Views 108
- Downloads 0
METADATA STANDARD HARVESTING
The rapid growth of Internet resources, digital collections and libraries are constructed with the help of metadata schemas. Each metadata schema has been designed based on the requirements of the particular user communi...
PERFORMANCE COMPARISION OF QOS STABILITY METHODS IN WIMAX NETWORKS
Recently IEEE 802.16 WiMAX has attracted a lot of attention in wireless networking research and applications. An attempt had been made to compare DropTail, RED, Proportional fairness and DRR protocol...
An overview of interval encoded temporal mining involving prioritized mining, fuzzy mining, and positive and negative rule mining
Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions. In real life, media information has time attributes eith...
A Journey on WiMAX and its Security Issues
Security has become a primary concern in order to provide protected communication in Wireless environment. We know the basic concept of communication is sent the information from source node to destination node but in my...
An Efficient Routing scheme for reliable path establishment among Mobile Devices in Heterogeneous Networks
In heterogeneous networks, devices available with varying connectivity help to provide many new opportunities for efficiently utilizing new resources. In mobile ad hoc networks with varying layered a...