null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Big Data Analysis for Green Computing (Concepts and Applications)

List Price: $68.99
SKU:
9781032053066
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Rohit Sharma, Dilip Kumar Sharma, Dhowmya Bhatt, Binh Thai Pham
    Format:
    Paperback
    Pages:
    186
    Publisher:
    CRC Press (October 4, 2024)
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781032053066
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260409051642232-20260409.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $68.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Green Engineering and Technology
    As low as:
    $65.54
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Weight:
    12oz
    Case Pack:
    1
    Imprint:
    CRC Press
  • Overview

    This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.