Data Technologies and Applications: Volume 55 Issue 1

Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk

Yi-Chun Chang, Kuan-Ting Lai, Seng-Cho T. Chou, Wei-Chuan Chiang, Yuan-Chen Lin

Telecommunication (telecom) fraud is one of the most common crimes and causes the greatest financial losses. To effectively eradicate fraud groups, the key fraudsters must be…

Optimal support vector machine and hybrid tracking model for behaviour recognition in highly dense crowd videos

K. Satya Sujith, G. Sasikala

Object detection models have gained considerable popularity as they aid in lot of applications, like monitoring, video surveillance, etc. Object detection through the video…

Enhancing lifetime of wireless multimedia sensor networks using modified lion algorithm–based image transmission model

Mahesh P. Wankhade, KC Jondhale

In the past few decades, the wireless sensor network (WSN) has become the more vital one with the involvement of the conventional WSNs and wireless multimedia sensor networks…

TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning

Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu

The study aims to cope with the problems confronted in the skin lesion datasets with less training data toward the classification of melanoma. The vital, challenging issue is the…

An algorithm to elicitate ELECTRE II, III and IV parameters

Brunno e Souza Rodrigues, Carla Martins Floriano, Valdecy Pereira, Marcos Costa Roboredo

This paper presents an algorithm that can elicitate all or any combination of parameters for the ELECTRE II, III or IV, methods. The algorithm takes some steps of a machine…

Technical trends of artificial intelligence in standard-essential patents

Shu-Hao Chang

Defining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the…

An error-propagation aware method to reduce the software mutation cost using genetic algorithm

Seyed Mohammad Javad Hosseini, Bahman Arasteh, Ayaz Isazadeh, Mehran Mohsenzadeh, Mitra Mirzarezaee

The purpose of this study is to reduce the number of mutations and, consequently, reduce the cost of mutation test. The results of related studies indicate that about 40% of…

An effective recommender system based on personality traits, demographics and behavior of customers in time context

Samira Khodabandehlou, S. Alireza Hashemi Golpayegani, Mahmoud Zivari Rahman

Improving the performance of recommender systems (RSs) has always been a major challenge in the area of e-commerce because the systems face issues such as cold start, sparsity…