자료명/저자사항 : Applications of big data and business analytics / editors, Sneha Kumari, K.K. Tripathy, Vidya Kumbhar. 발행사항 : Bingley : Emerald Publishing Limited, 2021. 청구기호 : 005.7 -A21-8, 자료실 : [서울관] 서고(열람신청 후 1층 대출대), 형태사항 : xviii, 183 pages : illustrations ; 24 cm, 표준번호/부호 : ISBN: 9781800438859 ISBN: 9781800438842 ISBN: 9781800438866, 제어번호 : MONO22021000006958, 주기사항 : Includes bibliographical refe...
BDCIA2024 ; November 15-17, 2024 · Huanggang, China · 2nd International Conference on Big Data, Computational Intelligence and Applications
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery ...
Learn more about Big Data: what it is, the databases that support it, Big Data architecture, the applications and challenges of Big Data, along with examples of Big Data in use today.
In today’s world, there are a lot of data. Big companies utilize those data for their business growth. By analyzing this data, the useful decision can be made in various cases as discussed below: 1. Tracking Customer Spending Habit, Shopping Behavior: In big retails store (like Amazon, Walmart, Big Bazar etc.) management team has to keep data of customer’s spending habit (in which product customer spent, in which brand they wish to spent, how frequently they spent), shopping behavior, custom...
Find breakthrough research in Journal of Big Data, an open access journal that publishes comprehensive research on all aspects of data science and big data ...
Subjects ; Classical and Ancient Near Eastern Studies ; Library and Information Science, Book Studies ; Sports and Recreation
Big data analytics is the systematic processing and analysis of large amounts of data to extract valuable insights and help analysts make data-informed decisions.
Big data refers to the incredible amount of structured and unstructured information that humans and machines generate—petabytes every day, according to PwC. It’s the social posts we mine for customer sentiment, sensor data showing the status of machinery, financial transactions that move money at hyperspeed. It’s also too massive, too diverse, and comes at us way too fast for old-school data processing tools and practices to stand a chance. It’s also much too valuable to leave unanalyzed...
Big data is having a huge impact on the world. Here are some big data examples and applications to know across marketing, healthcare and more industries.