复试计算机专业⽂献翻译
数据挖掘（Data Mining）
NO.1：机电维修
In the current era of big data, the mining and analysis of massive data is particularly important. Data mining technology has been widely applied in the fields of media, finance, medical care, transportation and e-commerce.However, the complexity and diversity of big data and the particularity of the application of data mining technology in various industries have also put forward new theoretical and technical challenges in the field of data mining.
wanting
NO.2：
specificityThe era of big data for the data mining technology has brought more opportunities and problems, such as the big data content for more efficient data mining algorithm and the accumulation of large data more quickness requirement of real-time data mining algorithms, the complexity of the large data diversity requires more flexible data mining algorithm, the universality of big data in all walks of life to the particularity in the field of data mining algorithm, etc.This also prents a new demand for data mining.
翻译
NO1
在⼤数据时代，⼤量数据的挖掘和分析变得⾮常重要。疑神疑鬼电影
数据挖掘技术已经在媒体，⾦融，医疗，交通，电⼦商务领域得到了⼴泛应⽤。
然⽽，⼤数据的复杂性与多样性以及数据挖掘技术在许多领域的特殊应⽤也给⼤数据领域带来了新的理论与技术的挑战。
coronaNO2
⼤数据时代为数据挖掘技术带来了更多的机遇和问题，⽐如⼤数据内容的处理需要更⾼效的数据挖掘算法，⼤数据的更快的堆积处理需要更实时的数据挖掘算法，庞⼤数据的多样性的复杂性需要更灵活的数据挖掘算法，⼤数据在各⾏各业的⼴泛性对应着⼤数据挖掘算法在各领域的独特性等等要求。
这也给数据挖掘领域带来了⼀些新要求。
厄勒克特拉⼈⼯智能（Artificial Intelligence）
NO.1：
From AlphaGo to unmanned driving, from speech recognition to face recognition, artificial intelligence has become one of the most important technologies in the modern era. Artificial intelligence technology has been widely ud in scientific discovery, economic construction, social life and other fields.Artificial intelligence rearch and development has been promoted to the national strategic level. With the continuous development of information technologies such as big data, cloud computing and Internet of things, artificial intelligence rearch is facing new challenges in theory, method and application.
NO.2：
In recent years, the rapid development of artificial intelligence technology makes its application expand rapidly. However, the traditional computer architecture has many shortcomings in processing speed, energy consumption and convenience of u for the application of artificial intelligence.With the development of the application of artificial intelligence, the architecture oriented to artificial intelligence has become an important direction in the rearch and development of architecture
NO1
初花从alphaGo 到⽆⼈驾驶，从语⾳识别到脸部识别，⼈⼯智能已经成为了现代最重要的技术之⼀。
⼈⼯智能已经⼴泛应⽤于科学探索，经济结构，社会⽣活和其他领域。
⼈⼯智能的研究与发展已经提升到了国家战略的⽔平。
随着⼤数据，云计算，物联⽹领域的信息技术的不断发展，⼈⼯智能的研究⾯临着在理论，⽅法以及应⽤⽅⾯的新挑战。
NO2
最近⼏年，⼈⼯智能技术的快速发展使得它的应⽤迅速扩张。
然⽽，对于⼈⼯智能的应⽤，传统计算机体系结构在处理速度，能量损耗，使⽤⽅便存在着许多缺点，⾯向⼈⼯智能的架构已成为了架构研究与发展的重要⽅向。
深度学习（Deep Learning）
NO.1：
moreover用法Deep learning has achieved a lot in arch technology, data mining, machine learning, machine tran
slation, natural language processing, multimedia learning, voice, recommendation and personalization, and other related fields.Deep learning enables machines to imitate human activities such as audiovisual and thinking, solves many complex pattern recognition problems, and makes great progress in related technologies of artificial intelligence.
NO1
深度学习在搜索技术，数据挖掘，机器学习，机器翻译，⾃然语⾔处理，多媒体的学习，声⾳，个性化推荐和其他相关领域中取得了很多成就。
深度学习使得机器去模仿⼈类的视听⾏为以及思考，解决许多复杂的模式辨别问题，并且使⼈⼯智能的相关技术取得了巨⼤进步。
5G⽹络（5G）
NO.1：
英语四级准考证打印入口
The 5th generation mobile communication technology is the latest generation of cellular mobile communication technology, which is also an extension of 4G , 3G and 2G systems. 5G’s performance goals are high data rates, reduced latency, energy savings, reduced costs, incread s
ystem capacity, and large-scale device connectivity.
NO1
第五代移动通信技术是最新的蜂窝移动通信技术，它是对4G，3G，2G系统的扩展。
5G的性能⽬标是⾼速数据传输，减少延迟，节能，省钱，增加系统容量和设备连接的规模。dees
SQL定义
NO.1：
Structured Query Language is a special purpo programming Language, a databa query and programming language for accessing data and querying, updating, and managing relational databa systems.
NO.2：
SQL can be divided into three functional parts: data definition, data manipulation and data control.The core of SQL is equivalent to relational algebra, but it has many features that relational al
gebra does not, such as aggregation, databa update, and so on.It is a comprehensive, universal, and highly functional relational databa language.
NO1
结构化查询语⾔是有特殊⽬的的编程语⾔，是⼀种数据库查询。这种编程语⾔是为了访问数据，查询，更新，管理相关数据库系统⽽设计NO2
SQL能够被分成三个功能性的部分：数据定义，数据处理和数据控制。
SQL的核⼼等同于关系代数，但它拥有许多关系代数没有的特点，⽐如聚合，数据更新等等。
它是复杂的，⼴泛的，⾼功能性的相关数据库语⾔。
编译器（Compiler）
NO.1：
A compiler is a program that translates “one language (usually a high-level language)” into "another language (usually a low-level language)."Advanced computer languages are easy to write, read, co
mmunicate, and maintain.Machine language is something that a computer can read and run directly.The compiler takes an asmbly or high-level computer language source program as input and translates it into the equivalent of the machine code in the target language.
