2015
DOI: 10.1016/j.bdr.2015.09.001
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Practical Identification of Dynamic Precedence Criteria to Produce Critical Results from Big Data Streams

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Cited by 2 publications
(1 citation statement)
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“…• Data streams and real-time processing: processing large data offering real-time responses is one of the most popular and demanding paradigms in business [106]. Currently, there are some specific approaches in Big Data streams [107][108][109] and even software development [110]. Data preprocessing techniques, such as noise editing [58], should be able to tackle Big Data scenarios in upcoming applications.…”
Section: New Big Data Learning Paradigmsmentioning
confidence: 99%
“…• Data streams and real-time processing: processing large data offering real-time responses is one of the most popular and demanding paradigms in business [106]. Currently, there are some specific approaches in Big Data streams [107][108][109] and even software development [110]. Data preprocessing techniques, such as noise editing [58], should be able to tackle Big Data scenarios in upcoming applications.…”
Section: New Big Data Learning Paradigmsmentioning
confidence: 99%