Data Isolating Pattern Framework For Prediction Crime Sector Using Wide-Open Power System Convention Phase Algorithm
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Abstract
Data Mining (DM) 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 organized data are from various sources. The framework is furnished with an open power framework show stage for breaking down the data from entire data holder. As per this idea, the examination is a lot of outright as opposed to other, data mining method. The fundamental target of the proposed study is to give data having better and huge viewpoint.
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S. Imthiyas Ahamed, Dr. J. Chockalingam, & Dr. A. Shaik Abdul Khadir. (2024). Data Isolating Pattern Framework For Prediction Crime Sector Using Wide-Open Power System Convention Phase Algorithm. Educational Administration: Theory and Practice, 30(5), 1402–1412. https://doi.org/10.53555/kuey.v30i5.3100
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