Role of Events R-Tree in Knowledge Discovery Process for Spatio-Temporal Databases
作者： Rainu Nandal , Rahuli Rish , ,
DOI: 10.17485/IJST/2017/V10I12/111436
关键词: Process (engineering) 、 Scope (project management) 、 Spatial analysis 、 Knowledge extraction 、 Data set 、 R-tree 、 Temporal database 、 Cover (telecommunications) 、 Data science 、 Computer science
摘要: Objectives: The appraisal of data set in databases is expanding at a monster rate. These offers rise to necessity for inventive systems and gadgets help individuals normally astutely investigate gigantic sets gather profitable data. Here, the role Events R-Trees Knowledge Discovery Process Spatio-Temporal Databases presented. Methods: Taking into account execution R-tree, thoughts scope cover are vital. Scope level an R-tree described as total range extensive number rectangles associated with hubs that level. Cover stage zone contained inside least two hubs. Obviously, powerful seeking demands together be limited. Findings: In this division, outfit portrayal KDD well Data Mining, recitation its assignments, techniques, along correlations. paper, explained. Improvements: standout amongst most referred spatial information structures it all time utilized correlation new structures.
indjst.org 参考文章(8)
Peiquan Jin, Xike Xie, Na Wang, Lihua Yue, Optimizing R-tree for flash memory Expert Systems With Applications. ,vol. 42, pp. 4676- 4686 ,(2015) , 10.1016/J.ESWA.2015.01.011
Antonin Guttman, R-trees Proceedings of the 1984 ACM SIGMOD international conference on Management of data - SIGMOD '84. ,vol. 14, pp. 47- 57 ,(1984) , 10.1145/602259.602266
Yan Huang, Liqin Zhang, Pusheng Zhang, A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets IEEE Transactions on Knowledge and Data Engineering. ,vol. 20, pp. 433- 448 ,(2008) , 10.1109/TKDE.2007.190712
Antonio González-Torres, Francisco J García-Peñalvo, Roberto Therón-Sánchez, Ricardo Colomo-Palacios, None, Knowledge discovery in software teams by means of evolutionary visual software analytics Science of Computer Programming. ,vol. 121, pp. 55- 74 ,(2016) , 10.1016/J.SCICO.2015.09.005
Carlos Gamarra, Josep M. Guerrero, Eduardo Montero, A knowledge discovery in databases approach for industrial microgrid planning Renewable & Sustainable Energy Reviews. ,vol. 60, pp. 615- 630 ,(2016) , 10.1016/J.RSER.2016.01.091
Yun Tian, Philip J. Rhodes, A location service for partial spatial replicas implementing an R-tree in a relational database Journal of Parallel and Distributed Computing. ,vol. 90, pp. 9- 21 ,(2016) , 10.1016/J.JPDC.2016.01.003
Joël Chaskalovic, Franck Assous, Data mining and probabilistic models for error estimate analysis of finite element method Mathematics and Computers in Simulation. ,vol. 129, pp. 50- 68 ,(2016) , 10.1016/J.MATCOM.2016.03.013
Rainu Nandal, , Rahul Rishi, , Gravitational Search-Based Effective Knowledge Discovery Process for Spatio- Temporal Databases International Journal of Intelligent Engineering and Systems. ,vol. 9, pp. 59- 68 ,(2016) , 10.22266/IJIES2016.1231.07