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Kaur, Kuljit
- A Review Paper on Clustering in Data Mining
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Authors
Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, IN
1 Department of Computer Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 13 (2014), Pagination: 144-151Abstract
Clustering is a process of keeping similar data intogroups. Objects within the cluster/group have high similarity in comparison to one another but are very dissimilar to objects of other clusters. Clustering is an unsupervised learningtechnique as every other problem of this kind; it dealswith finding a structure in a collection of unlabeleddata. Types of clustering methods are-hierarchical and partitioningbased. Inthis paper clustering and its methodsare discussed.Keywords
Data Mining, Clustering, Partitioning Method, Hierarchical Clustering, Cluster Distance.- Identifying Usability Issues of the Most Popular Mobile Education Apps from User Reviews
Abstract Views :127 |
PDF Views:0
Authors
Kiranbir Kaur
1,
Kuljit Kaur
2
Affiliations
1 Research Scholar, Guru Nanak Dev University, Amritsar, IN
2 Professor, Guru Nanak Dev University, Amritsar, IN
1 Research Scholar, Guru Nanak Dev University, Amritsar, IN
2 Professor, Guru Nanak Dev University, Amritsar, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 35, No SP (2023), Pagination: 352-365Abstract
The study of mobile apps is a hot research topic because of the expanding use of mobile devices around the world. App user reviews provide a channel of communication between app developers and their end users. They are the best source for understanding user opinions and concerns. Analysis of mobile education apps from various angles and contexts is revealed by several literature reviews. However, there is hardly any study analyzing the emerging issues of Adults education apps in the body of literature. The goal of this study is to identify the main topics related to emerging usability issues in user reviews of the apps on the Google Play Store. The study analyses 2,28,660 negative reviews and 9,93,460 positive user reviews of the top five popular education-related apps (Coursera, Edx, LinkedIn, Skillshare, and Udemy) using Natural Language Processing tasks such as Latent Dirichlet Algorithm (LDA). The results identify several inherent topics in the negative reviews such as account login issues, security and privacy issues, payment issues, content-related issues, app usability issues, customer service issues, and bug-fixing issues. On the other way, the analysis of positive reviews reveals ease of use, the best learning app, user-friendly and great platform.Keywords
Mobile Education, Adult Apps, Topic Modelling, Latent Dirichlet Allocation (LDA), User Reviews.References
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