Description: Big Data Analytics, Hardcover by Govindaraju, Venu (EDT); Raghavan, Vijay (EDT); Rao, C. R. (EDT), ISBN 0444634924, ISBN-13 9780444634924, Brand New, Free shipping in the US 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. Review of big data research challenges from diverse areas of scientific endeavor Rich perspective on a range of data science issues from leading researchers Insight into the mathematical and statistical theory underlying the computational methods used to address big data analytics problems in a variety of domains
Price: 274.89 USD
Location: Jessup, Maryland
End Time: 2025-01-16T06:34:48.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Big Data Analytics
Number of Pages: 390 Pages
Language: English
Publication Name: Big Data Analytics
Publisher: Elsevier Science & Technology
Subject: Databases / Data Mining, Applied
Publication Year: 2015
Type: Textbook
Item Length: 9 in
Subject Area: Mathematics, Computers
Author: Vijay Raghavan
Series: Handbook of Statistics Ser.
Item Width: 6 in
Format: Hardcover
