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Analysis into Data Management in E-Governance Systems


Ref: ict0024

E-governance is more than just a government website on the Internet. But what is it exactly, and what is it not? Many definitions exist for e-governance. Several other terms are also commonly used, including: e-business, e-democracy and e-government. 1. E-democracy refers to the processes and structures that encompass all forms of electronic interaction between Government (elected) and the Citizen (electorate). 2. E-government is a form of e-business in governance and refers to the processes and structures pertinent to the delivery of electronic services to the public (citizens and businesses), collaborating with business partners and conducting electronic transactions within an organizational entity. The application of electronic means in: (1) The interaction between government and citizens and government and businesses, as well as in (2) Internal government operations to simplify and improve democratic, government and business aspects of Governance.


  • 14,000 words - 45 pages in length
  • Good in depth analysis
  • Outstanding piece of work
  • Good use of IT models
  • Ideal for IT and computing students


1. Introduction
E-governance
E-governance Objective
Model & Phases in e-governance
Developmental Challenges
Issues in Implementation
Infrastructural Issues
Social and Cultural Issues
Security Issues
Hardware and Software Issues
Administration Issues
Financial Issues
Database  Issues

2. Query Processing Solutions in E Governance: A Review
Overall Architecture
Module Functionality
Rewriter
Planner
Algebraic Space
Method-Structure Space
Cost Model
Size-Distribution Estimator
Algebraic Space 2
Planner
Optimization Algorithms
Dynamic Programming Algorithms
Randomized Algorithms
Algorithm Description
Results
Other Search Strategies
Size-Distribution Estimator
Histograms
Other Techniques
Non-centralized Environments
Parallel Databases
Distributed Databases
Advanced Types of Optimization
Semantic Query Optimization
Global Query Optimization
Parametric Dynamic Query Optimization

3. A* algorithm in Query Optimization
Algorithm
Problems with A* and its Solution

4. Improved A* Algorithm for Query Optimization
Description
Algorithm

5. Testing Procedures and Results
Initialization Parameters
Cost Calculation
Probability Function
Other Assumptions
Results
Output Quality
Nodes to be visited
Explanation of the Observed Behaviour

References



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