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From Trajectory Modeling to Social Habits and Behaviors Analysis
Donatella Gubiani, Marco Pavan, 2016, independent scientific component part or a chapter in a monograph

Abstract: In recent years, the widespread of mobile devices has made easier and popular the activities of recording locations visited by users and of inferring their trajectories. The availability of such large amount of spatio-temporal data opens new challenges to automatically extract information and get valuable knowledge. The many aspects of this issue have aroused the interest of researchers in several areas, such as information retrieval, data mining, context-aware computing, security and privacy issues, urban planning, and transport management. Recently, there has been a strong interest in understanding how people move during their common daily activities in order to get information about their behaviors and habits. In this paper we describe considerable recent research works related to the analysis of mobile spatio-temporal data, focusing on the study of social habits and behaviors. We provide a general perspective on studies on human mobility by depicting and comparing methods and algorithms, highlighting some critical issues related to information extraction from spatio-temporal data, and future research directions.
Found in: ključnih besedah
Summary of found: ...several areas, such as information retrieval, data mining, context-aware computing, security and privacy issues, urban...
Keywords: Trajectory modeling, Social habits and behaviors, Spatio-temporal data, Data mining
Published: 18.11.2016; Views: 3085; Downloads: 0
.pdf Fulltext (652,73 KB)

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
Keywords: web mining, data mining, e-governance, analytics, data science, public sector
Published: 01.04.2021; Views: 469; Downloads: 18
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