The effects of COVID’19 have been witnessed by every individual, and it has impacted everyone in a different way. Due to the pandemic, work from home (WFH) has become a policy priority for most organizations. We expect that the people will seem to be satisfied with their job while working from home, because of certain factors like productivity, motivation, reduces in expense, work family-life balance. And to understand the effect of social, behavioral, and physical factors on the well-being of office workstation users during COVID19 work from home (WFH), we conducted an online survey to capture the experience of people, [...]

Abstract: Data duplication is one of the core issues in data warehouses pertaining to the quality of data. By finding and removing duplicate data, you can decrease the amount of space needed to store your data. For smooth, efficient, and fast analysis the duplicated data needs to be filtered out before using it for further process. However, very few research has been done on data deduplication for textual data. Realizing this gap, this paper presents analysis of bloom filters to detect duplicates in textual data. The paper discusses the challenges and the need for textual data deduplication. Existing literature on [...]

Abstract: This study applies k-means and mini-batch clustering dataset for customer segmentation. Based on the analysis, various clusters were formed and validated. It was found that the results of both clustering techniques are same with an enhancement in processing speed via the use of mini-batch k-means. Customer segmentation can be used for market intelligence to identify interested clients by giving corporate entities in the retail sector pertinent and relevant facts periodically. It can be used as methods for examining customer purchase patterns and sales trends. The clustering has been applied over a dataset extracted from Kaggle. After performing the exploratory [...]

Abstract: With the growing interest in academics and industry towards research and the availability of large number of publishers, the frequency of publications is also on the rise. It is found that researchers are very careful about the selection of the related periodicals and the proceedings with good research index and well-known publishers. In this direction, this research performed a quantitative analysis of the publication by various authors in leading journals. We identified their interests/ selection of the periodicals for their research publication. For this purpose, a scrapping tool was developed, and data was scrapped for scientific publications published in [...]