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Big Data Analytics, Volume 33 (Hardcover)
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Big Data Analytics, Volume 33 (Hardcover)
Series: Handbook of Statistics
Expected to ship within 12 - 17 working days
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While the term Big Data is open to varying interpretation, it is
quite clear that the Volume, Velocity, and Variety (3Vs) of data
have impacted every aspect of computational science and its
applications. The volume of data is increasing at a phenomenal rate
and a majority of it is unstructured. With big data, the volume is
so large that processing it using traditional database and software
techniques is difficult, if not impossible. The drivers are the
ubiquitous sensors, devices, social networks and the all-pervasive
web. Scientists are increasingly looking to derive insights from
the massive quantity of data to create new knowledge. In common
usage, Big Data has come to refer simply to the use of predictive
analytics or other certain advanced methods to extract value from
data, without any required magnitude thereon. Challenges include
analysis, capture, curation, search, sharing, storage, transfer,
visualization, and information privacy. While there are challenges,
there are huge opportunities emerging in the fields of Machine
Learning, Data Mining, Statistics, Human-Computer Interfaces and
Distributed Systems to address ways to analyze and reason with this
data. The edited volume focuses on the challenges and opportunities
posed by "Big Data" in a variety of domains and how statistical
techniques and innovative algorithms can help glean insights and
accelerate discovery. Big data has the potential to help companies
improve operations and make faster, more intelligent decisions.
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