The term digital divide refers to the gap between people with effective access to digital and information technology and those with very limited access. In other words it is closely related to the knowledge divide or knowledge share due to the lack of technology and knowledge. The extraction of useful and non-trivial information from the huge amount of data available in many and diverse fields of science, business and engineering is called as Data Mining. Data Mining techniques and algorithms are the actual tools that analysts have at their disposal to find unknown patterns and correlation in the data. For effective use of E-governance in Tamil Nadu, the digital divide to be reduced. Most of the Government departments are already using E-governance in Tamil Nadu. This is the appropriate time for us to analyze the effectiveness and reach ability of technology to all sectors of peoples. Even the most learned peoples are reluctant in using the technology. This digital divide gap leads to improper usage of Information and Communication technologies. The objective of this paper is to analyze the following two important digital divide issues using data mining and present recommendations for better E-Governance in Tamil Nadu.

Improving Quality of Bandwidth / Parameters: Since, the information and communication technologies are being implemented in the Government at different levels; good bandwidth is needed for constant transformation of knowledge in a proper format. For the better usage of E- Governance, the quality and performance of bandwidth performance has to be increased. In Tamil Nadu, there are so many service providers available for connectivity. But, the expected quality of bandwidth is less than the assured bandwidth. This paper analyses the bandwidth parameters using data mining techniques and suggest a better framework for improving bandwidth across Tamil Nadu.

Taking Technology to reduce the gap: Now-a-days, many new information and communication technologies are introduced. The urban sector is reluctant in using the technology due to the fear of using the technology and also thinking communication/network failure, which occurs frequently. The middle age person still thinks that the technology is very far from them and also is very costlier. The rural sector is unaware of these technologies and they need to be provided infrastructure and training. With the increase usage of mobile phones; convergence of technologies also need to be thought of. This paper analyses the need of urban and rural sector people for the effective reach of technology. Data Mining Techniques are used for data analysis, which leads creation of to better E-governance standards.

The above mentioned parameters are studied by applying data mining techniques such as Association rule mining (determine implication rules for a subset of record attributes, Classification (assign each record of a database to one of a predefined set of classes analysis and Clustering Techniques (find groups of records that are close according to some user defined metrics) and a suitable framework is proposed for better E-Governance.

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Reducing digital divide using data mining techniques for better e-governance

R. Jayabrabu   Department of Computer Applications, Dr. N.G.P Institute of Technology

V. Saravanan   Department of Computer Applications, Dr. N.G.P Institute of Technology

A. K Balakrishnan   Department of Mechanical Engineering, Dr. N.G.P Institute of Technology

The term digital divide refers to the gap between people with effective access to digital and information technology and those with very limited access. In other words it is closely related to the knowledge divide or knowledge share due to the lack of technology and knowledge. The extraction of useful and non-trivial information from the huge amount of data available in many and diverse fields of science, business and engineering is called as Data Mining. Data Mining techniques and algorithms are the actual tools that analysts have at their disposal to find unknown patterns and correlation in the data. For effective use of E-governance in Tamil Nadu, the digital divide to be reduced. Most of the Government departments are already using E-governance in Tamil Nadu. This is the appropriate time for us to analyze the effectiveness and reach ability of technology to all sectors of peoples. Even the most learned peoples are reluctant in using the technology. This digital divide gap leads to improper usage of Information and Communication technologies. The objective of this paper is to analyze the following two important digital divide issues using data mining and present recommendations for better E-Governance in Tamil Nadu.

Improving Quality of Bandwidth / Parameters: Since, the information and communication technologies are being implemented in the Government at different levels; good bandwidth is needed for constant transformation of knowledge in a proper format. For the better usage of E- Governance, the quality and performance of bandwidth performance has to be increased. In Tamil Nadu, there are so many service providers available for connectivity. But, the expected quality of bandwidth is less than the assured bandwidth. This paper analyses the bandwidth parameters using data mining techniques and suggest a better framework for improving bandwidth across Tamil Nadu.

Taking Technology to reduce the gap: Now-a-days, many new information and communication technologies are introduced. The urban sector is reluctant in using the technology due to the fear of using the technology and also thinking communication/network failure, which occurs frequently. The middle age person still thinks that the technology is very far from them and also is very costlier. The rural sector is unaware of these technologies and they need to be provided infrastructure and training. With the increase usage of mobile phones; convergence of technologies also need to be thought of. This paper analyses the need of urban and rural sector people for the effective reach of technology. Data Mining Techniques are used for data analysis, which leads creation of to better E-governance standards.

The above mentioned parameters are studied by applying data mining techniques such as Association rule mining (determine implication rules for a subset of record attributes, Classification (assign each record of a database to one of a predefined set of classes analysis and Clustering Techniques (find groups of records that are close according to some user defined metrics) and a suitable framework is proposed for better E-Governance.

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