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1.
Web mining and analytics for improving e-government services in India
Saibal K. Pal, Rajan Gupta, Sunil K. Muttoo, 2017, independent scientific component part or a chapter in a monograph

Abstract: The ever increasing technology usage and the globalization have given rise to the need of quick, accurate and smarter handling of information by organizations, states, nations and the entire globe. For every nation to be under any form of government, it became mandatory to have shorter turnaround time for their interactions with citizens. This pressure gave rise to the concept of e-Governance. It has been implemented by various nations and even UN reported an increase in E-Governance activities around the world. However, the major problems that need to be addressed by developing nations are digital divide and lack of e-Infrastructure. India started its e-Governance plan through a proposal in 2006 with establishment of National e-Governance Plan popularly known as NeGP headed by Ministry of Communications and Information Technology, Government of India. As per the Electronic Transaction and Aggregation Layer, millions of transactions are taking place on regular basis. Within 2015 itself, over 2 billion transactions have been carried out by the Indian citizens in various categories and sectors like agriculture, health, and the likes. For central government projects alone, around 980 million electronic transactions have taken place, while for state government projects, the combined total of all the states is close to 1.2 billion. With the kind of data getting generated through e-Governance initiative in India, it will open up lot of opportunities for data analysts & mining experts to explore this data and generate insights out of them. The aim of this chapter is to introduce various areas and sectors in India where analytics can be applied for e-Governance related entities like citizens, corporate and government departments. It will be useful for researchers, academicians and students to understand various areas in E-Governance where web mining and data analysis can be applied. The theoretical background has been supported by practical case study for better understanding of the concepts of web analysis and mining in the area of E-Governance.
Found in: ključnih besedah
Summary of found: ...mining, data mining, e-governance, analytics, data science, public sector...
Keywords: web mining, data mining, e-governance, analytics, data science, public sector
Published: 01.04.2021; Views: 469; Downloads: 18
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2.
E-governance in India
Saibal K. Pal, Sunil K. Muttoo, Rajan Gupta, scientific monograph

Abstract: This book on E-Governance in India has got three major things on offer—introduction to E-Governance, status of E-Governance in India through various measures, and finally the progress of E-Governance initiatives in India through various case studies.
Found in: ključnih besedah
Summary of found: ...e-governance, India, public sector, development assessment index, United Nations...
Keywords: e-governance, India, public sector, development assessment index, United Nations
Published: 01.04.2021; Views: 421; Downloads: 2
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3.
Introduction to algorithmic government
Rajan Gupta, Saibal K. Pal, scientific monograph

Abstract: This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.
Found in: ključnih besedah
Summary of found: ...which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial...
Keywords: algorithmic government, automated decision making, artificial intelligence, public sector, government by algorithms, algorithmic bias
Published: 02.04.2021; Views: 411; Downloads: 3
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