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Data analytic framework for crime sector using open grid rule generation algorithm
Author(s) -
Momotaz Begum,
Abraham George
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.9.9811
Subject(s) - computer science , data mining , data cleansing , process (computing) , grid , container (type theory) , analytics , perspective (graphical) , data analysis , data science , database , data quality , artificial intelligence , engineering , mechanical engineering , metric (unit) , operations management , geometry , mathematics , operating system
Data analytics (DA) is the process of exploring datasets in order to illustrate conclusions about the information they contain. It is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information. A database contains both structured and semi-structured data. The semi-structured data are from different sources. The system is provided with an open grid rule generationfor analyzing the data from whole data container. According to this concept, the analysis is much absolute rather than other, data mining technique.The main objective of the proposed study is to provide data having better and significant perspective. 

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