最新刊期

    卷 2 , 期 1 , 2016

      FOCUS

    • Privacy preservation in big data:a survey

      Binxing FANG, Yan JIA, Aiping LI, Rong JIANG
      Vol. 2, Issue 1, Pages: 2016001(2016) DOI: 10.11959/j.issn.2096-0271.2016001
      摘要:Privacy disclosure issue becomes more and more serious due to big data analysis.Privacy-preserving techniques should be conductive to the big data applications while preserving data privacy.Since big data has the characteristics of huge scale,numerous sources and dynamic update,most traditional privacy preserving technologies are not suitable any more.Therefore,the concept of privacy and life cycle protection model of big data era were introduced firstly.Technical state of big data privacy preservation was elaborated from the points of view of four stages in big data life cycle,i.e.data publishing,storage,analysis and use.The relative merits and scope of application of each technology were investigated as well.Finally,some important direction and tendency of privacy preservation technologies for big data were suggested.  
      关键词:Key words big data;privacy preservation;data dissemination;data miningdata miningdata mining;data access   
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      Special topics:agricultural data

    • Agricultural informatization and big data

      Xiaobing WANG
      Vol. 2, Issue 1, Pages: 2016002(2016) DOI: 10.11959/j.issn.2096-0271.2016002
      摘要:The importance of the big data has been widely recognized since it is the main content of the“internet plus”action plan.Agriculture is an important application field of big data.Big data brings new opportunities for development for agricultural information monitoring and early warning.The problems of traditional agricultural development in China were introduced.The important role of the internet plus agriculture was expounded.The importance and specific measures of developing modern agriculture were analyzed.The proposed recommendations can improve the agricultural comprehensive production capacity,reduce the agricultural resources consumption,and provide reference for the construction of the modern agriculture based on the internet and big data technology.  
      关键词:agriculture;informatization;big data;internet plus   
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    • Envisagement of the construction of national agricultural big data center

      Wensheng WANG, ONGChangqing GUO
      Vol. 2, Issue 1, Pages: 2016003(2016) DOI: 10.11959/j.issn.2096-0271.2016003
      摘要:Agricultural big data center (ABDC) is the premise and basis for developing agricultural big data,China should actively push for the construction of ABDC.The strategic demands for ABDC were analyzed from the view of the development of modern agriculture and the data basis of ABDC building was also introduced.At last,the main components of ABDC were proposed and the application prospect of ABDC was discussed.  
      关键词:agricultural big data;big data center;strategic demand;application prospect   
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    • Challenge and thinking of agricultural big data assets management

      Junqing LI, Changqing SONG, Hu ZHOU
      Vol. 2, Issue 1, Pages: 2016004(2016) DOI: 10.11959/j.issn.2096-0271.2016004
      摘要:Agricultural big data assets management is the prerequisite of developing big data of agriculture and countryside.Combined the knowledge of agricultural fields and the hot topics in big data industry,agricultural big data assets management was discussed.Furthermore,definitions and descriptions of the concepts were defined,and some features of agricultural big data assets were analyzed from the view of service value.Next,the facing challenge of agricultural big data assets management was discussed from the aspects of storage,quality,value,safety,open and personnel training.The present situation of agricultural big data assets was analyzed.At the end,some thinking and suggestions were proposed for agricultural big data assets management.  
      关键词:agricultural big data;assets management;agriculture and countryside   
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    • Study on the agricultural big data development of Shandong province

      Yong ZHENG, Lei MENG, Wenjing LI
      Vol. 2, Issue 1, Pages: 2016005(2016) DOI: 10.11959/j.issn.2096-0271.2016005
      摘要:The big data development has been escalated to the strategic altitude by the “Executive Outlines on Facilitating Big Data Development” publicized by the General Office of State Council,stressing the development of business applications such as big data for agriculture and rural areas.The modern agriculture faced lot of realistic predicaments.These obstacles urged big data applications to propel the transformation and upgrade of our agricultural.Aimed at the existing problems,the development status of agricultural data in Shandong province was analyzed.The necessity of agricultural big data development,the corresponding major tasks and safeguard measures of this development were proposed.This article can provide preference for the related policy making.  
      关键词:agricultural big data;resource sharing;informatization;internet plus   
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    • Training mode of graduate students majored in agricultural big data

      Shaomin MU, Fujiang WEN, Changqing SONG
      Vol. 2, Issue 1, Pages: 2016006(2016) DOI: 10.11959/j.issn.2096-0271.2016006
      摘要:Big data application is still in its primary stage,and agricultural big data is the integrated products of many different subjects,so the insufficiency of big data specialists or experts is an important bottle-neck of big data application.The concept of agricultural big data,the processing technology and its application were briefly introduced.Combining the characteristics of the agricultural big data,aiming at the situation of agricultural big data talent lack,the importance of graduate students majored in agriculture big data was discussed.On this basis,the essence of training scheme and the training mode of graduate students were discussed.  
      关键词:agricultural big data;machine learning;big data processing technology;training mode of graduate students   
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    • Qingqing ZHANG, Yong LIU, Shaomin MU, Fujiang WEN
      Vol. 2, Issue 1, Pages: 2016007(2016) DOI: 10.11959/j.issn.2096-0271.2016007
      摘要:Wheat aphids are the main pests of wheat crops.The monitoring and forecasting of their occurrence degree,especially the short-term occurrence degree,is much difficult.Many traditional predictions rely only on temperature and humidity,so the match degree to the actual occurrence value is low.Based on the concept of big data and data mining programs,the predictive classification model was established by means of the decision tree analysis of the relationship between the occurrence degree of aphids and up to 18 variables.It was found out that the duration of sunshine has the highest degree of relevance to the forecasting level of aphids,followed by ladybird.The confidence coefficient of the model that runs steadily in the experiment is 91.49%.  
      关键词:wheat aphids;agricultural big data;decision tree;classification model   
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    • Lei ZHAO, Bo YANG, Yong LIU, Shaomin MU, Fujiang WEN
      Vol. 2, Issue 1, Pages: 2016008(2016) DOI: 10.11959/j.issn.2096-0271.2016008
      摘要:The monitoring and forecasting model was put forward based on support vector machine program.According to the data collection of the fourth generation occurrence degree of the corn bollworm in Shandong province from 1999 to 2013,the support vector regression (SVR) method was adopted to build the nonlinear correlation model between the occurrence degree of the fourth generation bollworm and the associated factors.The method and the model were tested and analyzed.The results showed that the SVR forecasting model for prediction was almost in accord with the actual insect occurrence situation.The mean absolute percentage error was 4.36%,and the actual and estimated value of the correlation coefficient was 0.960 6.It could provide effective and accurate guidance to the cotton bollworm control in corn fields.  
      关键词:agricultural big data;cotton bollworm;support vector regression;monitoring and forecasting;corn   
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    • Chende WANG, Nan WANG, Danxing CAO
      Vol. 2, Issue 1, Pages: 2016009(2016) DOI: 10.11959/j.issn.2096-0271.2016009
      摘要:The active function of big data to the business of Zhengzhou commodity exchange (ZCE) was considered.The analysis of the important role which big data played in the main business streamline of ZCE indicated that data mining based on agricultural big data and futures big data helped to enhance the scientificalness,accuracy and pertinence of the exchange's main businesses such as commodity trading,delivery,settlement,risk control and new product development.  
      关键词:agricultural big data;futures market;business process;active function   
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      STUDY

    • Libin YANG, Hailin LI, Feibo ZHANG
      Vol. 2, Issue 1, Pages: 2016010(2016) DOI: 10.11959/j.issn.2096-0271.2016010
      摘要:The age of big data brought the management information system some shocks and challenges.So it was necessary to investigate the effects and impacts of the big data for management information system,which made the performance and social service of management information system more powerful.The connotation and features were given in advance to understand the conception of big data and the impacts of big data for business process of management information system were illustrated.Meanwhile,the promoting functions of big data for management information system were analyzed from its constitution Finally,some problems including information security and talent shortage were discussed in the big data environment,and some solutions for them were also proposed.  
      关键词:big data;management information system;data mining;information process   
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      APPLICATION

    • Big data in our life

      Pinjue CHE
      Vol. 2, Issue 1, Pages: 2016011(2016) DOI: 10.11959/j.issn.2096-0271.2016011
      摘要:With the arrival of the era of big data,big data has gradually come into people’s lives.Some typical big data applications that have influned into people’s lives were analyzed and described as inspiration.  
      关键词:big data;meteorology;sales;medical treatment;credit;data analysis;data industry   
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