房地产外文翻译--大数据在我国房地产企业中的应用研究

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1、7110 汉字， 4000 单词， 21700 英文字符 出处： Du D, Li A, Zhang L. Survey on the Applications of Big Data in Chinese Real Estate EnterpriseJ. Procedia Computer Science, 2014, 30:24-33. 毕业设计（论文） 外文原文及译文 一、外文原文 Survey on the Applications of Big Data in Chinese Real Estate Enterprise D Du， A Li， L Zhang Abstract: T

2、his paper focuses on the present applications of big data in Chinese real estate development and marketing from the perspective of real estate enterprises. The problems in this practice for big datas application are analyzed by now. Whats more, the possible solutions to solve the above problems are

3、proposed in this paper. It benefits the real estate enterprises to strength their competition with big data technology. Keywords: Big data,Chinese real estate enterprises,application status 1 Introduction The explosion of data volume fueled by stunning and exciting advances in the computer technolog

4、y and Internet techniques made the big data the focus of widespread attention. As early as 2000, in the first few weeks of Sloan Digital Sky Survey the data size observed by telescope in New Mexico is bigger than that has been collected in the entire history of astronomy. Big data almost derives its

5、 origin from astronomy. In addition to natural science such as astronomy, biomedicine, geoinformatics and other fields easily accompanied by enormous data volume, big data is widely known in social life. Especially in recent years, the appearance of cloud computing and the IOT speed up the arrival o

6、f “the era of big data”. It says that Google and Baidu have to deal with dozens of petabytes every day； there is a video length of over one hour released on the YouTube per second； there are more than one billion Facebook accounts uploading almost ten million photos every day with “like” and comment

7、 up to billions； Taobao generates about 20TB data every day with over 35 billion transactions on November 11th. This size of data is far away from the perception we had in pre- information-era society. In addition, there are more and more personal information controlled by banking and financial indu

8、stry or some telecommunications industry； industrial data collected by pervasive sensors also rises sharply. As the CBC Capital chairman Tian Suning puts it, “Now, an age of mass production, sharing and application in big data is approaching.” There is no doubt that data resources are crucial in the

9、 age of big data. A number of enterprises have gained excellent decision making capabilities and immeasurable economic benefits through valuable information produced by data mining.In order to keep Chinese economic development in a sustainable, sound and rapid manner, it is very important for real e

10、state enterprises to take full advantage of big data because of the status of real estate industry as a pillar industry of the national economy. Especially when property prices continue upward or property bubble inflation involves the national economy and peoples livelihood, those real estate enterp

11、rises should make effective use of big data to tap the potentials.Solving the problems in applications on Big data, improving the abilities of investment and marketing, the estate will be able to keep playing a fundamental guiding role in national economy. 2 Literature To understand thoroughly the b

12、ig data phenomenon is late in last several years relative to the recognition of usual data. So is the related academic research. Actually, it received high attention from academic and industrial sector at once presented, followed by the big data boom both in theory research and practical application

13、. Chinese property enterprises seize opportunities in time making successful practices, though the systematic research about the applications in big data in academia is not sufficient so far. It is McKinsey that first puts forward the concept of big data. Big data has become an important factor of p

14、roduction permeating into different industries and functional areas for now. The mining and applications of large data means a new wave of productivity growth and consumer surplus. Viktor Mayer-Schnberger stared the research on big data. He is also known as the prophet of the era of big data. He mad

15、e a point that prediction is the core of big data. The transformation from samples to the overall data, the change from the pursuit of exactness to acceptance uncertainty and the correlativity instead of causality are indispensable to prepare for the age of big data. He also studied how to make a ch

16、oice from complicated data volume and then how to build the positive healthy future. The Nature made big data special issue as early as 2008,describing the potential value of big data and the challenge from data handling techniques in Internet technologies, biomedical and environmental sciences, clo

17、ud technologies and other fields. Likewise, the Science, one of the top international academic journals, published a special issue to convey the ideas of the time of big data. In 2012, the European academy of informatics and mathematics studied big data systematically including the management of big

18、 data, the direction and results of academic research. In the area of applications of big data in realty, Lohr S. holds the view that the property sales forecasts for the next quarter depended on big data is much more precise than that made by economists. Brown B and Chui M et al. believe that the r

19、eaching of big data provides potential for both realty enterprises and realty buyers with direct data sharing, bypassing the estate agents. And this can be a shock to the sense of data property right. The MIIT stressed four innovative projects on key techniques including information processing techn

20、ology in the twelfth five-year plan in December 2012, though “big data” was not official definition then. The information processing technology such as mass data storage technique and video image intelligent analysis is closely related to big data. With the time of cloud, big data is not only the IT

21、 hot word but also the focus of academic study. Studying a lot, Wang Shan at RenMin University of China illustrates the performance objectives of big data analytics platform. She reviews the framework of big data warehouse designed for analysis, supplying theory base for the structure of big data. L

22、i Guojie and Cheng Xueqi at the Institute of Computing Technology in the Chinese Academy of Sciences make a systematic exposition on the academic development of big data and the challenge in applications from a scientific research perspective, coming up with the implications of big data study. The p

23、resent domestic researches center on fields with large amounts of data easily available, such as library information management system and the building of digital library, the influence of big data to culture and media, the business marketing and accounting context with big data, the micro-miniature

24、 credit management based on big data, diseases control and prevention depended on big data, and so on. In spite of some achievements, the applications of big data in a few certain fields are more advanced. For example, there are quite a few portal sites support big data sharing and communication, wh

25、ile the academic research on big data resources or how to value these resources is deficient. And the studies on the range of issues of data sharing or transaction are less. Similarly, the academic research on big data of real estate is also behind the realty entrepreneurs practice. Chen Dachuan and

26、 Zhang Baoshan studied the application of big data in housing information system to propose the building of big housing database in 2012. Yan Juan studied the realty enterprises precision marketing based on big data in 201. By now, the research is not in-depth or complete enough compared with the pr

27、actical applications. 3. The Present Applications of Big data in Chinese Real Estate Enterprises Regarding big data as the “future petroleum resource”, White House stared the Big data Research and Development Program. It is apparently to us to get the point. At the industrial level, the age of big d

28、ata likely offer an even greater space for growth for those enterprises with a huge number of data and advanced data handling techniques. It seems that the property bubble is not endless and the housing price will back suitable sooner or later. Then its the key to realty development and marketing fo

29、r Chinese real estate enterprises to use big data effectively. Those huge numbers of data with variety and complexity brings new revenue model and vast space for development. In current applications of big data, the realty enterprises including developers, agency and property management companies all expand multiple comprehensive