2016
DOI: 10.1007/978-3-319-44550-2
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Big Data Technologies and Applications

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Cited by 44 publications
(22 citation statements)
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“…Thus, conventional static Business Intelligence tools may not be suitable for efficient big data applications anymore. Big data has been defined by most experts using the three main characteristics of big data as follows [21]:…”
Section: Big Data Definitionmentioning
confidence: 99%
“…Thus, conventional static Business Intelligence tools may not be suitable for efficient big data applications anymore. Big data has been defined by most experts using the three main characteristics of big data as follows [21]:…”
Section: Big Data Definitionmentioning
confidence: 99%
“…In addition, technology has made it possible to compile and investigate large amounts of speech data, treated and annotated in different ways and specifically suited to several research fronts, in a line with the view that privileges the acquisition of knowledge from huge corpora (cf. the concept of "big data" in FURHT; VILLANUSTRE, 2016). The automatic processing of the acoustic signal allows us to segment discourse into smaller units, from the utterance (or perhaps from larger units like the "paragraphs") to the syllable and its constituents; furthermore, it allows us to investigate how human speech conveys boundaries (or their absence) at different hierarchical levels.…”
Section: Prosodic Segmentation: Between Form and Functionmentioning
confidence: 99%
“…Virtualization technology is the key equipment used to help cloud computing grip large amounts of data flexibly and facilitate the process of managing big data. [13][14].…”
Section: Valuementioning
confidence: 99%