最新刊期
卷 1 ， 期 4 ， 2015
- 摘要：For the operating performance of listed corporations reflects the value of stock investment to a certain extent, financial index reflecting the operating performance of listed corporations was taken as the evaluation index of stock investment value, and for the first time the parallel clustering algorithms for big data both K-means and fuzzy K-means of Mahout were used to cluster nearly 2 600 stock of China’s A shares market according to their financial index, afterwards the clustering results of these two algorithms under different distance metrics were compared.Experimental results show that the clustering quality of K-means algorithm adopting Tanimoto distance metric is the best.Therefore, this result can be used as the final result of the division of stock, which can provide a reference for the investment decision.关键词：inancial index;parallel clustering algorithm;K-means;fuzzy K-means;division of stock449|586|0更新时间：2015-11-20
- 摘要：In recent years, P2P lending industry in China has appeared a lot of escape events in the process of its rapid development.Bases on deep analysis of the related concepts for P2P lending and big data, combining innovatively the risk pre-warning of platform with big data, an effective risk pre-warning model of P2P lending platform was constructed according to the collection of huge amounts of data, big data technology including Spark distributed computation and machine learning.Based on the establishment of multi-dimensional risk assessment, the model can be achieved on real-time, accurate, comprehensive monitoring for the risk of P2P lending, thus effectively reducing the frequency of financial fraud, escape malicious event, so as to the majority of investors’ money to maintain security and social stability.关键词：internet financial;P2P lending;big data;risk pre-warning;machine learning311|530|0更新时间：2015-11-20
- 摘要：Based on the state of the art of big data research, a national security-oriented network big data analysis and application system was proposed, against existing problems of national security systems, such as data fragmentation, nonstandard, difficult to share, and so on.In this system, the current national security requirements and big data technologies were organic combined.It could not only play the advantages of big data technology in multi-source heterogeneous data fusion, deeply mining security information, and breaking information island, but also share the advantages of the existing business architecture and quickly producing the actual effect.Finally, a systematic introduction to the national security-oriented network big data mining and analysis technologies was given.关键词：big data;national defense security;big data analysis;multi-source heterogeneous data fusion273|412|0更新时间：2015-11-20
- 摘要：In recent years, advanced persistent threat (APT) has become the chief threat to enterprise users.The traditional security protection methods, such as signature-based detection and perimeter protection, are insufficient in dealing with APT.Therefore, the status of network anomaly behavior detection method was described.The technology roadmap and system architecture of abnormal behavior detection based on statistical learning were introduced.The feature extract method and statistical modeling methods were proposed.The characteristic of abnormal behavior detection based on big data was concluded and the direction of future research was proposed.关键词：big data;security analysis;abnormal behavior detection;statistical learning378|690|0更新时间：2015-11-20
- 摘要：It is a basic work to discover high quality internet information sources automatically for scientific and technological intelligence.The technology of website/webpage information sources discovery was presented based on the co-citation relationship, and the technology of Twitter information sources discovery was presented based on the following relationship and content analysis.Then, the application forms of automatic discovery of information sources were discussed.Three kinds of application scenarios were presented based on the analysis of the requirements of scientific and technological intelligence.关键词：scientific and technological intelligence;internet information source;Twitter;co-citation;social network analysis287|283|0更新时间：2015-11-20
Special topic:Big data of finance and security
- 摘要：The technical characteristics, tasks, and difficulties of data mining in big data era were introduced.The system architecture of large-scale data mining was analyzed.Then, the developed FIU-Miner which is a fast, integrated, and user-friendly system for data mining, was introduced.FIU-Miner supports user-friendly rapid data mining task configuration, flexible cross-language program integration, and effective resource management in heterogeneous environments.Finally three successful real-world applications of FIU-Miner: advanced manufacturing data mining, spatial data mining, and business intelligence data mining, were presented to demonstrate its efficacy and effectiveness.关键词：big data;data mining;FIU-Miner;advanced manufacturing;spatial data mining;business intelligence1425|1074|0更新时间：2015-11-20
- 摘要：Urban traffic big data has such characteristics as various types, heterogeneity, large temporal and spatial scales, highly dynamic and random, localization and short life cycle.How to effectively collect and utilize the traffic big data to serve the real-time traffic administrative supervision, efficient operations of transportation enterprise, traffic services and other application needs, are unprecedented opportunities and challenges of urban transportation and smart cities.Several big data core technologies for urban transportation were summarized, and an intelligent application system solution was proposed, and some typical application was listed.In short, big data research and its application cases in the field of urban transportation and smart city were initially discussed.关键词：urban transportation;big data;cloud computing;internet of things843|1290|0更新时间：2015-11-20
STUDY
- 摘要：To solve the questions that the thermal power unit efficiency coefficient is generally low and spinning reserve ratio is large, amounts of data mining and analysis about the electricity load characteristic data of power generation in Anhui power grid and the 2014 national competition in the large sets have been done in recent years.The five solutions were proposed.The proposed solutions can dramatically improve the efficiency coefficient of thermal power unit.At the same time, spinning reserve rate, the power generation coal consumption and the main pollutant emissions will be reduced.Thus, the enterprise economic and social benefits will be double achieved.关键词：efficiency coefficient;optimization of power dispatch;optimize the design of the unit;energy conservation and emission185|246|0更新时间：2015-11-20
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