Data Technologies and Applications
Issue(s) available: 21 – From Volume: 52 Issue: 1, to Volume: 56 Issue: 3

Volume 54
Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI
Jiho Kim, Hanjun Lee, Hongchul LeeThis 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 TripathiSocial 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…
A cascaded deep-learning-based model for face mask detection
Akhil KumarThis 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…
Construction of public security indicators based on characteristics of shared group behavior patterns
XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li ShenHuman group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city…
Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case
Caihua Yu, Tonghui Lian, Hongbao Geng, Sixin LiThis paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to…
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 SahuAutomated skin lesion analysis plays a vital role in early detection. Having relatively small-sized imbalanced skin lesion datasets impedes learning and dominates research…
A collaborative trend prediction method using the crowdsourced wisdom of web search engines
Ze-Han Fang, Chien Chin ChenThe purpose of this paper is to propose a novel collaborative trend prediction method to estimate the status of trending topics by crowdsourcing the wisdom in web search…
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media
Heng-yang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun WangThe COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the…
Hybrid data analytic technique for grading fairness
Thepparit Banditwattanawong, Arnon Marco Polo Jankasem, Masawee MasdisornchoteFair grading produces learning ability levels that are understandable and acceptable to both learners and instructors. Norm-referenced grading can be achieved by several…
Utility optimization-based multi-stakeholder personalized recommendation system
Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar NagwaniIn a multi-stakeholder recommender system (MSRS), stakeholders are the multiple entities (consumer, producer, system, etc.) benefited by the generated recommendations…
Credit default swap prediction based on generative adversarial networks
Shu-Ying Lin, Duen-Ren Liu, Hsien-Pin HuangFinancial price forecast issues are always a concern of investors. However, the financial applications based on machine learning methods mainly focus on stock market…
An Argentine ant system algorithm for partial set covering problem
Xiaofan Liu, Yupeng Zhou, Minghao Yin, Shuai LvThe paper aims to provide an efficient meta-heuristic algorithm to solve the partial set covering problem (PSCP). With rich application scenarios, the PSCP is a…
Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda
Dhanya PramodThis study explores privacy challenges in recommender systems (RSs) and how they have leveraged privacy-preserving technology for risk mitigation. The study also…
Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising
Deepti Sisodia, Dilip Singh SisodiaThe problem of choosing the utmost useful features from hundreds of features from time-series user click data arises in online advertising toward fraudulent publisher's…
Ranking the ontology development methodologies using the weighted decision matrix
Prashant Kumar Sinha, Biswanath Dutta, Udaya VaradarajanThe current work provides a framework for the ranking of ontology development methodologies (ODMs).
Social recruiting: an application of social network analysis for preselection of candidates
Stevan Milovanović, Zorica Bogdanović, Aleksandra Labus, Marijana Despotović-Zrakić, Svetlana MitrovićThe paper aims to studiy social recruiting for finding suitable candidates on social networks. The main goal is to develop a methodological approach that would enable…
Techniques to detect terrorists/extremists on the dark web: a review
Hanan Alghamdi, Ali SelamatWith the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites…
Modular framework for similarity-based dataset discovery using external knowledge
Martin Nečaský, Petr Škoda, David Bernhauer, Jakub Klímek, Tomáš SkopalSemantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle…
Text mining the mission statements of the most ethical companies
Tuncay BayrakThis paper explores and examines the mission statements of the most ethical companies across the globe in terms of their main purposes, values, goals, and objective, and…
Exploring the effectiveness of word embedding based deep learning model for improving email classification
Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep SinghClassifying emails as ham or spam based on their content is essential. Determining the semantic and syntactic meaning of words and putting them in a high-dimensional…
Artificial intelligence technologies for more flexible recommendation in uniforms
Chih-Hao Wen, Chih-Chan Cheng, Yuh-Chuan ShihThis research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the…
3MO-AHP: an inconsistency reduction approach through mono-, multi- or many-objective quality measures
Carla Martins Floriano, Valdecy Pereira, Brunno e Souza RodriguesAlthough the multi-criteria technique analytic hierarchy process (AHP) has successfully been applied in many areas, either selecting or ranking alternatives or to derive…
Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing
Laouni DjafriThis work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as…
ISSN:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban