Data Technologies and Applications: Volume 55 Issue 5

An incentive mechanism-based framework to assure the quality of self-organizing peer review in preprint

Ying He, Kun Tian, Jiangyang Fu

Preprint has become an important vehicle for academic communications and discussions. However, in preprint, there is a lack of a sufficient quality control mechanism such as peer…

An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science

Dumitru Roman, Neal Reeves, Esteban Gonzalez, Irene Celino, Shady Abd El Kader, Philip Turk, Ahmet Soylu, Oscar Corcho, Raquel Cedazo, Gloria Re Calegari, Damiano Scandolari, Elena Simperl

Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research…

SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings

Heng-Yang Lu, Yi Zhang, Yuntao Du

Topic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet…

Robust cross-lingual knowledge base question answering via knowledge distillation

Shaofei Wang, Depeng Dang

Previous knowledge base question answering (KBQA) models only consider the monolingual scenario and cannot be directly extended to the cross-lingual scenario, in which the…

Attack detection in medical Internet of things using optimized deep learning: enhanced security in healthcare sector

J Aruna Santhi, T Vijaya Saradhi

This paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your…

A novel approach for exploring channel dependence of consumers' latent shopping intent and the related behaviors by visualizing browsing patterns

Hei-Fong Ho

This study is to propose a more effective and efficient analytic methodology based on within-site clickstream associated with path visualization to explore the channel dependence…

A multi-objective approach to determining the usefulness of papers in academic search

Shah Khalid, Shengli Wu, Fang Zhang

How to provide the most useful papers for searchers is a key issue for academic search engines. A lot of research has been carried out to address this problem. However, when…

M-GAN-XGBOOST model for sales prediction and precision marketing strategy making of each product in online stores

Song Wang, Yang Yang

The rapid development of e-commerce has brought not only great convenience to people but a great challenge to online stores. Phenomenon such as out of stock and slow sales has…

Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers

Zhenyuan Wang, Chih-Fong Tsai, Wei-Chao Lin

Class imbalance learning, which exists in many domain problem datasets, is an important research topic in data mining and machine learning. One-class classification techniques…

Predicting agricultural and livestock products purchases using the Internet search index and data mining techniques

Hoyoung Rho, Keunho Choi, Donghee Yoo

This study identifies whether the Internet search index can be used as effective enough data to identify agricultural and livestock product demand and compare the accuracy of the…

Effect of eWom on purchase intention: meta-analysis

Merve Albayrak, Cemil Ceylan

The aim of this research is to combine and synthesize the findings of previous studies search for the effects of eWom on purchase intention by meta-analysis.

Recognition and labeling of faults in wind turbines with a density-based clustering algorithm

Shuai Luo, Hongwei Liu, Ershi Qi

The purpose of this paper is to recognize and label the faults in wind turbines with a new density-based clustering algorithm, named contour density scanning clustering (CDSC…