Way for operators to build the telecommunication big data ecology by Mi LIU, Haichuan YANG, Zhenhua LI

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Application of security analysis technology for network big data by Laifu WANG, Huamin JIN, Dongxin LIU, Shuai WANG

Subjects: “…big data…”
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Qualitative Behavior of Rational Difference Equation of Big Order by M. M. El-Dessoky

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An AkNN Algorithm for High-Dimensional Big Data by Zhongwei Wang, Yefang Chen, Siyou Xiao, Jiangbo Qian

Subjects: “…high-dimensional…”
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Research on Security Connotation and Response Strategies for Big Data by Kun Hu, Di Liu, Minghui Liu

Subjects: “…ig data security…”
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Efisiensi Big Data Menggunakan Improved Nearest Neighbor by Aditya Hari Bawono, Ahmad Afif Supianto

“…Sorting phase of kNN becomes a computation problem when it is done on big data. In the effort to overcome the classification of big data a more accurate and efficient method is required. …”
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Applications of a big data platform based on PaaS by Haiyong XU, Yan HUANG

Subjects: “…big data…”
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Big data acquisition for underground infrastructure condition assessment by Chao Wang, Zhipeng Xiao, Yixian Wang, Fei Wang, Zili Li

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Reflections on operators' competition in big data of internet of things by Nan LIU, Lu LIU, Di ZHANG, Jinwu WEI, Yunyong ZHANG

Subjects: “…big data…”
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Management of the User Experience Based on the Big Data Analysis by Bo Kang, Shengqiang Liu

Subjects: “…big data…”
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Preventing Foodborne Illness: E. coli “The Big Six” by Susanna Richardson, Renée M. Goodrich-Schneider, Keith R. Schneider

“…Food and Drug Administration has identified six serogroups (or “strains”), known as the “big six,” which includes E. coli O26, O45, O103, O111, O121, and O145. …”
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Instantaneous correlations of Shannon’s big data in nonlocal cosmos by Igor É. Bulyzhenkov

“…The information guidance for the nonlocal mass integral nullifies its volumetric rest energy by self-gravity. Shannon entropy for big data can describe both macro- and mega-entanglement of correlated densities. …”
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Des biens communs aux biens publics mondiaux by Bernard Hours

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De Big Brother a Big Data: reflexiones a propósito de Im Schwarm. Ansichten des Digitalen de Byung-Chul Han by Vicente Ordóñez Roig

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Research on the big data planning model of mobile wireless network by Yu CHEN, Xiaodong CHEN, Yue LIU

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Simulating Smoke Filling in Big Halls by Computational Fluid Dynamics by W. K. Chow, C. L. Chow, S. S. Li

“…Many tall halls of big space volume were built and, to be built in many construction projects in the Far East, particularly Mainland China, Hong Kong, and Taiwan. …”
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STUDY ON CRITICAL CTOD OF BIG-THICKNESS AND HIGH-STRENGTH STEELS by XIA ZiYu, MIAO ZhangMu, MA Tao, CHEN Gang, PENG Sheng

“…As one of the essential criteria of assessment to welding toughness,CTOD（ Crack tip opening displacement） is widely applied in engineering.The research on critical CTOD of big thickness and high strength steels has been a hot issue,therefore the theoretical research in China lags behind its overseas.The present paper takes the single edge fatigue precrack of CTOD specimen as a flaw based on the technical route of the British Standard 7910-2005,which is "Guide to methods for assessing the acceptability of flaws in metallic structures".In the meanwhile,make the grading assessments of the HAZ of the60 mm thick EQ70 steel welded joints,combining the results of the CTOD tests.The CGHAZ microstructures of EQ70 steel welded joints has been analyzed by SEM.The assessments on welded joints of EQ70 show that the CTOD values are in the acceptable range.And there are some fine microstructures good for the toughness of the welded joint.This method provides a useful guidance in researches of critical CTOD.…”
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The Big Mac Index: A comprehensive bibliometric and systematic review by Haitham Nobanee, Diem Thi Hong Vo, Hai Hong Trinh, Saif Ullah

Subjects: “…Big Mac index…”
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Implementation of a big data anonymization system based on Spark by Chaoyi BIAN, Shaomin ZHU, Tao ZHOU

“…Group based anonymization is a classical data anonymization framework,which achieves the effect of privacy protection by constructing groups of anonymized data records ensuring that records in the same group cannot be distinguished with each other.The electric power industry big data analysis involves the core data of the power enterprises and the user privacy data,the data sensitivity is stronger,traditional data anonymization systems are unable to meet the needs of big data business applications and safety protection of electric power industry.A new big data anonymization system based on Spark was designed and implemented,which could provide the support for multiple data formats stored on Hadoop and substantially improve the processing efficiency for big data.…”
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Telecom intelligent operation system based on big data grid by Yunfeng GUO, Heng CAI, Lei GE

Subjects: “…big data…”
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