数据科学与预测综述

Abdulwahab Alazeb, Mohammed S. Alshehri, Sultan Almakdi
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引用次数: 0

摘要

多年来数据的指数级增长使得管理所有数据的任务变得越来越重要。这种需求是由技术进步推动的,技术进步带来了数据量的大幅增长。由于许多新开发的技术形式在社会上的重要性,数据管理不再仅仅是存储的问题,还包括安全性和可用性。在商业世界中,数据的管理影响到服务的交付和整体生产力。本文试图解释与现代需求和未来意义相关的数据科学的不同方面。详细探讨了数据科学,重点是数据管理的背景、历史和概念。从现有文献和学术界的各种来源进行了深入的讨论,关于数据管理和技术的重要性日益增加。本文还对这些技术进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on Data Science and Prediction
The exponential growth of data over the years has brought into focus the increasingly-important task of managing all of it. This need has been driven by advancements in technology that have created large increases in data volume. Due to the societal importance of many newly-developed forms of technology, management of data is no longer just a matter of storage, but security and availability as well. In the business world, the management of data affects the delivery of services and overall productivity. This paper seeks to explain the different aspects of data science related to modern needs and future significance. Data science is explored in detail with emphasis on the background, history, and concepts of data management. Various sources from existing literature and academia are thoroughly discussed regarding the growing importance of data management and techniques involved. An evaluation of these techniques is also presented.
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