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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Insight- Research on Intelligent Planning and Scheduling Method Based on Big Data by using machine Learning algorithm with R |
| Authors Name: | Krupali Rupesh Dhawale , Minakshi Ashok Ramteke |
| Unique Id: | IJSDR2301119 |
| Published In: | Volume 8 Issue 1, January-2023 |
| Abstract: | In Today’s environment Artificial Intelligence Safe, efficient, and sustainable operations and control are primary objectives in industrial manufacturing processes built the model of an any intelligent system producing system driven by huge information attracted increasing attention of the people human intervention, thereby showing apparent limitations in practice. Machine Learning algorithm with using R will visualize a lot of hidden information within the method of feature extraction of the domain adaptation. This paper expounds the outstanding performance of machine learning on inbuilt mtcars dataset in intelligent producing system modeling, that provides a good manner and powerful tool for intelligent producing system style, performance analysis, and running standing observance and provides a transparent direction for choosing, designing, or implementing the machine clearning design within the field of intelligent producing system modeling and programming. In this paper the KNN or k-nearest neighbors algorithm is one of the simplest machine learning algorithms and is an example of instance-based learning, where mtcars dataset are classified based on stored, labeled instances. |
| Keywords: | Machine Learning Algorithm, KNN algorithm |
| Cite Article: | "Insight- Research on Intelligent Planning and Scheduling Method Based on Big Data by using machine Learning algorithm with R", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 1, page no.728 - 730, January-2023, Available :http://www.ijsdr.org/papers/IJSDR2301119.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR2301119 Registration ID:203547 Published In: Volume 8 Issue 1, January-2023 DOI (Digital Object Identifier): Page No: 728 - 730 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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