An overview on big data and machine learning techniques: an introduction toperformance management

سال انتشار: 1401
محل انتشار: اولین کنفرانس بین المللی مدیریت و مهندسی کیفیت و قابلیت اتکا
کد COI اختصاصی: GRAMS01_052
زبان مقاله: انگلیسی
تعداد مشاهده: 189

نویسندگان

Department of Engineering, Sepidan Branch, Islamic Azad University, Sepidan, Iran.

چکیده

The rapid growth of data prompts big data to emerge as a new research area that has gained muchattention in comparison with recent past. By fast pace of technology we are witnessing greatproduction of data in wide range of science. Thus, such novel conditions imposed by big data revealserious challenges at different data manipulation levels while reaching high levels of performance.Analyzing this huge volume of various data being generated rapidly, considering its veracity, is noteasily available; in the case that traditional data analysis techniques may not be able to tackle such ahuge complex amount of data in all situations, some new techniques of big data analytics aredesigned. In response to these difficulties, new approaches of big data analysis mostly rooted intraditional ones consider the variability and complexity of data stored in proper format of big data.The current research after introducing this newly born technology and the recently developedtechniques of big data analyzing studies the related challenges in this field. Particularly, clusteringapproaches, as one of the most effective steps in machine learning, are widely applied to big dataanalysis process. After a deeply valuable discussion on the issue, further research directions of bigdata clustering are presented.

کلیدواژه ها

big data methods and applications; machine learning; clustering algorithm; performancemanagement

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