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Our “digified” lives have provided researchers with an unprecedented opportunity to study society at a much higher frequency and granularity. Such data can have a large sample size but can be sparse, biased, and exclusively contributed by the users of the technologies.
Basiri, Anahid, Brunsdon, Chris
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Acknowledgment to Reviewers of Data in 2021
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Data Editorial Office
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Acknowledgment to the Reviewers of Data in 2022
High-quality academic publishing is built on rigorous peer review [...]
Data Editorial Office
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Komentar na korištenje "big data" u medicinskom ...
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Data Structures for Mobile Data [PDF]
The authors present a set of novel data structures for the efficient maintenance of various continuous and discrete attributes of mobile data. A Kinetic Data Structure (KDS) maintains an attribute of interest in a system of geometric objects undergoing continuous motion.
Julien Basch +2 more
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Data Compression for Climate Data [PDF]
The different rates of increase for computational power and storage capabilities of supercomputers turn data storage into a technical and economical problem. Because storage capabilities are lagging behind, investments and operational costs for storage systems have increased to keep up with the supercomputers' I/O requirements.
Michael Kuhn 0003 +2 more
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Data, Data, and Yet More Data [PDF]
This article was originally presented as a speech at the Association for University Business and Economic Research (AUBER) Annual Meeting, University of Memphis, Memphis, Tennessee, October 16, 2006.
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DATA INTEGRATION IN DATA WAREHOUSING [PDF]
Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the ...
Diego Calvanese +4 more
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Acknowledgment to Reviewers of Data in 2020
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Data maintains its standards for the high quality of its published papers [...]
Data Editorial Office
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Acknowledgement to Reviewers of Data in 2017
Peer review is an essential part in the publication process, ensuring that Data maintains high quality standards for its published papers [...]
Data Editorial Office
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