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Therefore, the way to manage and retrieve multimedia documents reflecting users' intent in heterogeneous big data environments has become an important issue.
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Part of what we built this year, which we are very proud of, is this big data environment, which has brought disparate data sources together.
The problems associated due to the inefficiencies in data management get amplified in multi-tasking, and shared Big Data environments.
Firstly, the particularity of heterogeneous multimedia retrieval in big data environments is addressed.
Therefore, online data analysis for big data reduction remains challenging in streaming big data environments.
Data redundancy is the key issue for data analysis in big data environments.
In Big Data environments, it is critical to analyze, decide and act quickly and often.
The transfer learning solutions surveyed are independent of data size and can be applied to big data environments.
"When you're done you've essentially written a program, and that code is something we can compile and launch on a big data environment".
Those really fit the big data environment right now.
In this work, we focus on topic detection in microblogs in the big data environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com