Data Technologies and Applications: Volume 57 Issue 1

A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection

Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu

Automated skin lesion analysis plays a vital role in early detection. Having relatively small-sized imbalanced skin lesion datasets impedes learning and dominates research in…

Hybrid data analytic technique for grading fairness

Thepparit Banditwattanawong, Arnon Marco Polo Jankasem, Masawee Masdisornchote

Fair grading produces learning ability levels that are understandable and acceptable to both learners and instructors. Norm-referenced grading can be achieved by several means…

Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda

Dhanya Pramod

This study explores privacy challenges in recommender systems (RSs) and how they have leveraged privacy-preserving technology for risk mitigation. The study also elucidates the…

Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case

Caihua Yu, Tonghui Lian, Hongbao Geng, Sixin Li

This paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to probe into…

A cascaded deep-learning-based model for face mask detection

Akhil Kumar

This work aims to present a deep learning model for face mask detection in surveillance environments such as automatic teller machines (ATMs), banks, etc. to identify persons…

Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI

Jiho Kim, Hanjun Lee, Hongchul Lee

This paper aims to find determinants that can predict the helpfulness of online customer reviews (OCRs) with a novel approach.

A hybrid approach for predicting missing follower–followee links in social networks using topological features with ensemble learning

Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi

Social networking platforms are increasingly using the Follower Link Prediction tool in an effort to expand the number of their users. It facilitates the discovery of previously…