Big data analytics

種類:

電子ブック

責任表示:

edited by Venu Govindaraju, Vijay Raghavan, C.R. Rao

出版情報:

Amsterdam : Elsevier, 2015

著者名:

• Govindaraju, Venugopal,
• Raghavan, Vijay,
• Rao, C. R.,

シリーズ名:

Handbook of statistics ; ; volume 33

ISBN:

9780444634979 [0444634975]    

注記:

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
Includes bibliographical references and index
Print version record

ローカル注記:

岐阜大学構成員専用E-BOOKS (Gifu University members only)