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The recent interest in Big Data has generated a broad range of new academic, corporate, and policy practices along with an evolving debate amongst its proponents, detractors, and skeptics. While the practices draw on a common set of tools,…

The continuous increase of data generated provides enormous possibilities of both public and private companies. The management of this mass of data or big data will play a crucial role in the society of the future, as it finds applications…

Computers and Society · Computer Science 2015-01-15 Fatima El Jamiy , Abderrahmane Daif , Mohamed Azouazi , Abdelaziz Marzak

In this paper we consider some of the issues of working with big data and big spatial data and highlight the need for an open and critical framework. We focus on a set of challenges underlying the collection and analysis of big data. In…

Computers and Society · Computer Science 2020-08-12 Chris Brunsdon , Alexis Comber

Big data holds critical importance in the current generation of information technology, with applications ranging from financial, industrial, academic to defense sectors. With the exponential rise of open source data from social media and…

Computers and Society · Computer Science 2016-10-28 Karan Jani

Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial…

Physics and Society · Physics 2020-09-04 S. Li , S. Dragicevic , F. Anton , M. Sester , S. Winter , A. Coltekin , C. Pettit , B. Jiang , J. Haworth , A. Stein , T. Cheng

Big data has ushered in a new wave of predictive power using machine learning models. In this work, we assess what {\it big} means in the context of typical materials-science machine-learning problems. This concerns not only data volume,…

Perhaps one of the mostly hotly debated topics in recent years has been the question of "GIS and Big Data". Much of the discussion has been about the data: huge volumes of 2D and 3D spatial data and spatio-temporal data are now being…

Computers and Society · Computer Science 2019-02-19 Guy Lansley , Michael de Smith , Michael Goodchild , Paul Longley

The advent of modern technology, permitting the measurement of thousands of characteristics simultaneously, has given rise to floods of data characterized by many large or even huge datasets. This new paradigm presents extraordinary…

Methodology · Statistics 2019-02-14 A. M. Pires , J. A. Branco

Large-scale databases of human activity in social media have captured scientific and policy attention, producing a flood of research and discussion. This paper considers methodological and conceptual challenges for this emergent field, with…

Social and Information Networks · Computer Science 2014-04-17 Zeynep Tufekci

Big Data dealing with the social produce predictive correlations for the benefit of brands and web platforms. Beyond "society" and "opinion" for which the text lays out a genealogy, appear the "traces" that must be theorized as…

Social and Information Networks · Computer Science 2016-07-19 Dominique Boullier

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies.…

Artificial Intelligence · Computer Science 2015-07-24 Hai Zhuge

With its rapid growth and increasing adoption, big data is producing a substantial impact in society. Its usage is opening both opportunities such as new business models and economic gains and risks such as privacy violations and…

Computers and Society · Computer Science 2018-03-28 Martí Cuquet , Anna Fensel

We argue that the boldest claims of Big Data are in need of revision and toning-down, in view of a few basic lessons learned from the science of complex systems. We point out that, once the most extravagant claims of Big Data are properly…

General Literature · Computer Science 2018-07-26 Sauro Succi , Peter V. Coveney

This book chapter attempts to counter anxieties in the humanities and social science about the role of big data in research by focusing on approaches which, by being firmly grounded in the traditional values of disciplines, enhance existing…

Computers and Society · Computer Science 2016-05-23 Tobias Blanke , Andrew Prescott

Big Data bring new opportunities to modern society and challenges to data scientists. On one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On…

Machine Learning · Statistics 2014-12-16 Jianqing Fan , Fang Han , Han Liu

As large-scale social data explode and machine-learning methods evolve, scholars of entrepreneurship and innovation face new research opportunities but also unique challenges. This chapter discusses the difficulties of leveraging…

General Economics · Economics 2025-05-14 Ningzi Li , Shiyang Lai , James Evans

Very large data sets are the common rule in automated mapping, GIS, remote sensing, and what we can name geo-information. Indeed, in 1983 Landsat was already delivering gigabytes of data, and other sensors were in orbit or ready for launch,…

Databases · Computer Science 2015-01-21 Robert Jeansoulin

Big data revolution promises to be instrumental in facilitating sustainable development in many sectors of life such as education, health, agriculture, and in combating humanitarian crises and violent conflicts. However, lurking beneath the…

Computers and Society · Computer Science 2019-05-03 Siddique Latif , Adnan Qayyum , Muhammad Usama , Junaid Qadir , Andrej Zwitter , Muhammad Shahzad

Recent advances in data collection and computational statistics coupled with increases in computer processing power, along with the plunging costs of storage are making technologies to effectively analyze large sets of heterogeneous data…

Cryptography and Security · Computer Science 2015-02-04 Hervais Simo Fhom

This paper reflects on a number of trends towards a more open and reproducible approach to geographic and spatial data science over recent years. In particular it considers trends towards Big Data, and the impacts this is having on spatial…

Other Statistics · Statistics 2020-08-10 Chris Brunsdon , Alexis Comber
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