Software Emergence for Need Based Large Data Processing in Engineering Problems

被引:0
|
作者
Waheed, Abdul [1 ]
Ali, Qasim [2 ]
机构
[1] Beijing Inst Graph Commun, Sch Int Educ, Beijing, Peoples R China
[2] Univ Sargodha, Dept Mech Engn, Sargodha, Pakistan
关键词
big data open platforms; big data analytics and metrics; big data management; software platforms; middleware; large data processing; interoperability; data mining; software emergence; automated data analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large data handling and analysis either on industrial level or on research level has always been facing problems. These problems increase with the increase in machine dedicated software packages. Large data processing and analysis is prone to errors and is time consuming while moving data from data generation to data analysis. In this paper, first-methods of data generation, methods to move data from data generation packages to data analysis packages have been discussed and finally method to handle large data has been proposed by introducing the concept of software emergence platform for automated large data processing and analysis. Method of automated data analysis for multiple similar types of data to reduce the time consumption has been introduced. Results generated by the proposed platform have been presented. Finally conclusions are made based upon the outcomes of proposed platform.
引用
收藏
页码:447 / 451
页数:5
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