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Big Data: A Survey
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“In addition, the combination of datasets in the big data age needs to cope with a number of challenges listed in [20,61], for example efficient data representation, redundancy reduction and data compression, spurious correlations, and noise accumulation.”
From Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience (2016) · cites this paper as [20]
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Metadata
- Authors
- Chen, M., Mao, S., & Liu, Y.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Auburn University (US)
- Tsinghua University (CN)
- Corresponding author
- Chen, Min
- Venue
- Mobile Networks and Applications
- Published
- 2014-01-22
- Volume
- 19
- Issue
- 2
- Pages
- 171-209
- ISSN
- 1383-469X (ISSN-L)
- 1572-8153
- OpenAlex
- W2159128662
- Cited by
- 2,913
- References
- 148
- Citations by year
- 2026: 117 · 2025: 166 · 2024: 164 · 2023: 171 · 2022: 206 · 2021: 293 · 2020: 323 · 2019: 341 · 2018: 389 · 2017: 309 · 2016: 256 · 2015: 146 · 2014: 28
- FWCI
- 461.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Mobile Networks and Applications (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Information Systems › Big Data and Digital Economy
- Keywords
- big data, cloud computing, Internet of Things, data centers, Hadoop, data generation, data acquisition, data storage, data analysis, business management, social networking sites, medical applications, collective intelligence, smart grid
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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