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Consumer data research /
Big Data collected by customer-facing organisations - such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings - account for most of the data collected about citizens today. As a result, they are transforming the practice of s...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
UCL Press,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Consumer data research / |c [edited by] Paul Longley, James Cheshire and Alex Singleton. |
| 264 | 1 | |a London : |b UCL Press, |c 2018. | |
| 300 | |a 1 online resource : |b color illustrations, color maps | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction : consumer data research : an overview / Paul Longley, James Cheshire and Alex Singleton -- Part one. Provenance and consumer data infrastructure -- Consumer registers as spatial data infrastructure and their use in migration and residential mobility research / Guy Lansley and Wen Li -- The provenance of customer loyalty card data / Alyson Lloyd, James Cheshire and Martin Squires -- Retail areas and their catchments / Michalis Pavlis and Alex Singleton -- Given and family names as global spatial data infrastructure / Oliver O'Brien and Paul Longley -- Part two. Dynamics and consumer data infrastructures -- Ethnicity and residential segregation / Tian Lan, Jens Kandt and Paul Longley -- Movements in cities: footfall and its spatio-temporal distribution / Roberto Murcio, Balamurugan Soundararaj and Karlo Lugomer -- The geography of online retail behaviour / Alexandros Alexiou, Dean Riddlesden and Alex Singleton -- Smart card data and human mobility / Nilufer Sari Aslam and Tao Cheng -- Interpreting smart meter data of UK domestic energy consumers / Anastasia Ushakova and Roberto Murcio -- Part three. New applications and data linkage -- Geovisualisation of consumer data / Oliver O'Brien and James Cheshire -- Geotemporal Twitter demographics / Alistair Leak and Guy Lansley -- Developing indicators for measuring health-related features of neighbourhoods / Konstantinos Dara, Alec Davies, Mark A. Green and Alex Singleton -- Consumers in their built environment context / Alexandros Alexiou and Alex Singleton -- Epilogue : Researching consumer data / Paul Longley, James Cheshire and Alex Singleton. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Big Data collected by customer-facing organisations - such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings - account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors - and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies. | ||
| 546 | |a English. | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 590 | |a JSTOR |b Books at JSTOR Open Access | ||
| 600 | 1 | 0 | |a Longley, Paul, |e editor. |
| 600 | 1 | 0 | |a Cheshire, James, |e editor. |
| 600 | 1 | 0 | |a Singleton, Alexander D., |e editor. |
| 650 | 0 | |a Consumers |x Research. | |
| 650 | 0 | |a Consumer behavior. | |
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Consommateurs |x Comportement. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Consommateurs |x Recherche. | |
| 650 | 7 | |a Data analysis: general. |2 bicssc | |
| 650 | 7 | |a Humanities. |2 bicssc | |
| 650 | 7 | |a Consumerism. |2 bicssc | |
| 650 | 7 | |a Sociology. |2 bicssc | |
| 650 | 7 | |a Economics. |2 bicssc | |
| 650 | 7 | |a Human geography. |2 bicssc | |
| 650 | 7 | |a Language Arts & Disciplines |x Library & Information Science. |2 bisacsh | |
| 650 | 7 | |a History. |2 bisacsh | |
| 650 | 7 | |a Business & Economics |x Consumer Behavior. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Consumer behavior |2 fast | |
| 650 | 7 | |a Consumers |x Research |2 fast | |
| 653 | |a big data. | ||
| 653 | |a consumer data research. | ||
| 653 | |a consumer. | ||
| 653 | |a consumer behaviour. | ||
| 776 | 0 | 8 | |i Print version: |t CONSUMER DATA RESEARCH. |d [Place of publication not identified] : UCL PRESS, 2018 |z 1787353893 |w (OCoLC)1035366353 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.2307/j.ctvqhsn6 |z Texto completo |
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