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The phrase "based on massive data" is grammatically correct and can be used in written English.
It means that something is supported or influenced by a large amount of data. Example: The company's decision to launch a new product was based on massive data collected from market research surveys and consumer feedback.
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In contrast to traditional meta-studies, our approach is based on massive data from publication databases and data mining.
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Firstly, a stress-development prediction model was statistically developed based on massive stress data recorded in time series.
Finally, the hysteretic curve model and shearing capacity are generalized based on massive test data, and the design formula of shearing capacity is also proposed based on current design codes.
Moreover, data-driven optimization, which combines mathematical programming methods and machine learning algorithms, has become an emerging and competitive tool to handle optimization problems in the presence of uncertainty based on massive historical data.
Advances in omic technologies now offer unprecedented insight into global molecular alterations in DR, but identification of novel treatments based on massive amounts of data generated in omic studies still represents a considerable challenge.
As such Data Futures needs to be understood infrastructurally as a dynamic sociotechnical assemblage of people, organizations, policies, technologies and legalities, all operating toward the realization of a utopian vision of a 'smart, connected,' HE sector based on massive volumes of student data and analysis.
This policy is based on massive studies and endorsed by national medical organizations.
In this paper, we focus on a special problem in transportation studies that concerns the so called "Big Data" challenge, which is: how to build concise yet accurate traffic flow prediction models based on the massive data collected by different sensors?
However, it is still a challenging task to perform attribute reduction on massive data.
In addition, based on the massive material properties data, a constitutive model of HSS under monotonic loading was suggested.
We propose that VCGDB offers a feasible strategy for processing big data to keep pace with the growing volume of biological data and provides a robust resource based on the massive amounts of genomics data for genomics studies and investigations into genetic diseases.
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