Recent Trends in Parallel Computing
Volume 9, Issue 3 (2022)
Published
Table of contents
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Analyzing the Best Framework for Web Development
Abstract: Examine the field of World Wide Web (WWW) webpage development to provide a specific solution that can assist with the development cycle. Currently, web apps are extremely complicated and sophisticated software products, with user perception of application quality being one of the most important variables influencing the application's success or failure. Lately, design patterns in the framework of web conceptual modelling methodologies have been offered as a way to provide …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 1–7 Read article
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Big Data and HR Analytics in Talent Management: A Study
Abstract: The discussion of the potential talent analytics provides HR practitioners is the goal of this article. The ability to analyses enormous volumes of data has become much more accessible over decades, and businesses are now using talent analytics to manage their workforce. There will be a lot of studies on how talent analytics may improve organizational decision-making. Majority of businesses use databases to hold complex data. A database is a …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 16–25 Read article
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Data Anonymnization for Privacy Protection Using Deep Learning Techniques
Abstract: The majority of real data are unbalanced, which makes them challenging to classify. Unbalanced data has been the subject of some research. However, deep learning has not taken into account how to manage such data. In this paper, we suggest deep learning-based data mining with imbalanced data for privacy protection. We discuss and analyse the aspects of current privacy-protection data mining as well as a deep learning based anonymizing tool. …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 26–35 Read article
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Exploring the World of Big Data: Understanding Impact and Possibilities
Abstract: Big data refers to the management and analysis of large and complex data sets that cannot be handled by traditional data processing software. It involves techniques for extracting useful information from these data sets, and involves challenges such as data storage, analysis, sharing, and privacy. The three main characteristics of big data are the large volume of data, the variety of data types, and the fast pace at which data …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 36–41 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article