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developed metrics serve as useful attributes for a machine learning model that can help select the manufacturing process of a conceptual design. A classification accuracy of 86% was achieved using a random forest algorithm, which is comparable to other approaches in the literature, while only using geometry as input.
SWIFT-Review (SWIFT is an acronym for "Sciome Workbench for Interactive computer-Facilitated Text-mining") is a freely available interactive workbench which provides numerous tools to assist with problem formulation and literature prioritization.SWIFT-Review puts the systematic review expert in the driver's seat by providing several features that can be used to search, categorize, and ...
A Review of Data Mining Literature. ... Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning, -- Scores of algorithms and ...
This appendix is meant to provide a brief review of the literature with regard to environmental and social impacts from mining, as well as key regulatory issues. Key Environmental and Social Impacts Environmental and social impacts of mining have been well-documented and an ample literature exists on this topic.
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@inproceedings{Ansarullah2019ASL, title={A Systematic Literature Review on Cardiovascular Disorder Identification using Knowledge Mining and Machine Learning Methods}, author={Syed Immamul Ansarullah and Pradeep Kumar}, year={2019} }
4.2.4. Machine learning/data mining. Machine Learning/Data Mining algorithms have been widely used in predictive analytics during the last years. However, their exploitation in the context of prescriptive analytics is rather scarce. We found that only one paper relies solely on machine learning and data mining algorithms (Revathy & Mukesh, 2018 ...
Jan 15, 2019· The use of text-mining tools and machine learning (ML) algorithms to aid systematic review is becoming an increasingly popular approach to reduce human burden and monetary resources required and to reduce the time taken to complete such reviews [3,4,5]. ML algorithms are primarily employed at the screening stage in the systematic review process.
Learning and Hybrid) however, in-depth analysis and review of latest literature on sentiment analysis with SVM was still required. Some of the related studies on sentiment analysis are as follows. Authors in [9] conducted a systematic literature review regarding opinion mining .
Literature Review on Data Mining ukessays. This literature review will focus on data mining techniques and aim to obtain more understanding on the features, benefits, and context of data mining techniques to be applied on, in order to employ the appropriate and powerful big data analytics for accounting research, especially for financial ...
Big data technologies have a strong impact on different industries, starting from the last decade, which continues nowadays, with the tendency to become omnipresent. The financial sector, as most of the other sectors, concentrated their operating activities mostly on structured data investigation. However, with the support of big data technologies, information stored in diverse sources of semi ...
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A Literature Review of Association Rules in Mining Association rules are used to identify customer preferences and customer behavior. Conclusion; Association rules mining are a popular and well researched method for discovering strong associations between variables in large databases.
researchers in the manual process of building a literature review. This paper proposes an assisted literature review prototype based on machine learning models (MLM) to discover, rank and recommend the relevant papers. Using text and data mining models, MLM .
Nov 28, 2017· We conducted a systematic literature review on the application of data mining and machine learning methods in air pollution epidemiology. We carried out our search process in PubMed, the MEDLINE database and Google Scholar. Research articles applying data mining and machine learning methods to air pollution epidemiology were queried and reviewed.
Sep 18, 2018· A Review on Heart Disease Prediction using Machine Learning and Data Analytics Approach Article (PDF Available) in International Journal of Computer Applications 181(18):975-8887 · September 2018 ...
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Literature Review Of Quarry Dust Me Mining Machinery A Technical Review on Quarry Dust and Foundry Sand Used II. LITERATURE REVIEW In this paper literature review containing both for Quarry stone dust and Foundry sand which are following H. M. A. Mahu Bangladesh 2011 2 has determined the relative performance of mortar and concrete by using ...
Apr 05, 2019· With this aim in mind, we differentiated our review from previous investigations that focused only on the broader use of artificial intelligence in medicine in the context of specific diseases [29,30], machine learning techniques [31,32], or risk prediction models, such as through mining of electronic health records [33,34], and did not ...
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