Retracted: An investigation on the role of artificial intelligence in scalable visual data analytics

Ramakrishnan Raman · Dharam Buddhi · Girish Lakhera · Zatin Gupta · Anand Y. Joshi · Dimple Saini

12 citations0/0 files storedInternational Conference on Artificial Intelligence and Smart Communication (AISC)

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Big Data Technologies and Applications Cloud Computing and Resource Management Data Visualization and Analytics

Abstract

Due to the huge amounts of data being generated from various sources, including online communities, the internet of things, and interactive applications, big data has emerged as an important field of research. Numerous prediction and decision-making processes have benefited greatly from the use of big data. Business planning, medical, display ads marketing, physicians, mobility, fraud detection, and tourism marketing are a few examples. In the research and industry, a number of big datasets, including as Hadoop technique quickly developed. These tools enable it to distribute, communicate, and analyze enormous amounts of data. Big dataset processing tools and methods allow for the effective analysis of massive amounts of data. However, choosing the best information solutions focused on bulk and streaming information extraction and analytical methodologies for creation of a big collection system seems to be difficult because of the challenges in processing and utilizing enormous data. Researchers and developers who are developing big data systems do not fully comprehend the existing technologies and specifications again for big internet traffic platform. Therefore, it is necessary to discuss the advantages and disadvantages of big data technology as well as practical answers to big data problems. Through use of big digital information methodologies and big info insights techniques in different fields, such as care and wellness treatment, virtual communities and the online, administrative structure and the civil service, resource management, and the trading and investment sector, is investigated in this study that used a systematic literature review. The goals of this article are to: (1) recognize recent developments in big data and current frameworks for big data innovation; (2) use or investigate of big data tools based on pack and flow calculation as well as big info science methodologies; and (3) support and propose educators and students with devices people really have to orientate latest research acts in this field.

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2007A Design Science Research Methodology for Information Systems Research 2019A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective 2014Big Data Analytics: A Literature Review Paper 2013Understanding the paradigm shift to computational social science in the presence of big data 2016Big Data Analytics in Support of the Decision Making Process

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