Results 1 to 10 of about 54,160 (201)
Journal of Medical Internet ResearchBackgroundOnline health information is widely available, but a substantial portion of it is inaccurate or misleading, including exaggerated, incomplete, or unverified claims.
Dongmei Tan +5 more
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LotusSQL: SQL Engine for High-Performance Big Data Systems
Big Data Mining and Analytics, 2021 In recent years, Apache Spark has become the de facto standard for big data processing. SparkSQL is a module offering support for relational analysis on Spark with Structured Query Language (SQL).
Xiaohan Li +4 more
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Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming
npj Systems Biology and Applications, 2021 The advent of protein design in recent years has brought us within reach of developing a “nanoscale programing language,” in which molecules serve as operands with their conformational states functioning as logic gates.
Nikolay V. Dokholyan
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Is a Dataframe Just a Table? [PDF]
, 2020 Querying data is core to databases and data science. However, the two communities have seemingly different concepts and use cases. As a result, both designers and users of the query languages disagree on whether the core abstractions - dataframes (data ...
Wu, Yifan
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Uncovering the Relationship between Human Connectivity Dynamics and Land Use
ISPRS International Journal of Geo-Information, 2020 CDR (Call Detail Record) data are one type of mobile phone data collected by operators each time a user initiates/receives a phone call or sends/receives an sms. CDR data are a rich geo-referenced source of user behaviour information.
Olivera Novović +4 more
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Acta Polytechnica CTU Proceedings, 2017 Presented contribution is dedicated to discussion of two different approaches into increase of programming language safety. They are language subset and extension of original safety mechanisms.
Tomáš Brandejský, Vít Fábera
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Computational Strategies for Scalable Genomics Analysis. [PDF]
, 2019 The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in genomics, posing a significant challenge to the computing infrastructure and software algorithms for genomics analysis.
Shi, Lizhen, Wang, Zhong
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A Comparison of Big Data Frameworks on a Layered Dataflow Model [PDF]
, 2016 In the world of Big Data analytics, there is a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool claims to provide better programming, data and execution models, for which only informal (and ...
Aldinucci, Marco +3 more
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A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures [PDF]
, 2014 Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, co-placement and scheduling of data with compute resources, and storing and transferring large ...
Fox, Geoffrey C. +4 more
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Large Scale Implementations for Twitter Sentiment Classification
Algorithms, 2017 Sentiment Analysis on Twitter Data is indeed a challenging problem due to the nature, diversity and volume of the data. People tend to express their feelings freely, which makes Twitter an ideal source for accumulating a vast amount of opinions towards a
Andreas Kanavos +5 more
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