Data Technologies and Applications: Volume 57 Issue 3

Subjects:

Table of contents

Improving anti-money laundering in bitcoin using evolving graph convolutions and deep neural decision forest

Anuraj Mohan, Karthika P.V., Parvathi Sankar, K. Maya Manohar, Amala Peter

Money laundering is the process of concealing unlawfully obtained funds by presenting them as coming from a legitimate source. Criminals use crypto money laundering to hide the…

SanMove: next location recommendation via self-attention network

Bin Wang, Huifeng Li, Le Tong, Qian Zhang, Sulei Zhu, Tao Yang

This paper aims to address the following issues: (1) most existing methods are based on recurrent network, which is time-consuming to train long sequences due to not allowing for…

TikTok app usage behavior: the role of hedonic consumption experiences

Amir Zaib Abbasi, Natasha Ayaz, Sana Kanwal, Mousa Albashrawi, Nadine Khair

TikTok social media app has become one of the most popular forms of leisure and entertainment activities, but how hedonic consumption experiences (comprising fantasy, escapism…

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Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process

Konstantinos Chytas, Anastasios Tsolakidis, Evangelia Triperina, Christos Skourlas

The purpose of this paper is to introduce an interactive system that relies on the educational data generated from the online Universities services to assess, correct and…

A novel twin-support vector machine for binary classification to imbalanced data

Jingyi Li, Shiwei Chao

Binary classification on imbalanced data is a challenge; due to the imbalance of the classes, the minority class is easily masked by the majority class. However, most existing…

A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing

Eunji Kim, Jinwon An, Hyun-Chang Cho, Sungzoon Cho, Byeongeon Lee

The purpose of this paper is to identify the root cause of low yield problems in the semiconductor manufacturing process using sensor data continuously collected from…

Multimodal Fast–Slow Neural Network for learning engagement evaluation

Lizhao Zhang, Jui-Long Hung, Xu Du, Hao Li, Zhuang Hu

Student engagement is a key factor that connects with student achievement and retention. This paper aims to identify individuals' engagement automatically in the classroom with…

Cover of Data Technologies and Applications

ISSN:

2514-9288

Online date, start – end:

2018

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editor:

  • Prof Miguel-Ángel Sicilia-Urban