Data Technologies and Applications

AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features

Hei-Chia Wang, Army Justitia, Ching-Wen Wang

The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests'…

CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method

Hei-Chia Wang, Martinus Maslim, Hung-Yu Liu

A clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as…

Analysis of automated guided vehicles performance based on process mining techniques

Alejandro Ramos-Soto, Angel Dacal-Nieto, Gonzalo Martín Alcrudo, Gabriel Mosquera, Juan José Areal

Process mining has emerged in the last decade as one of the most promising tools to discover and understand the actual execution of processes. This paper addresses the application…

Blockchain solutions for scientific paper peer review: a systematic mapping of the literature

Allan Farias Fávaro, Roderval Marcelino, Cristian Cechinel

This paper presents a review of the state of the art on the application of blockchain and smart contracts to the peer-review process of scientific papers. The paper seeks to…

Measuring land lot shapes for property valuation

Changro Lee

Unstructured data such as images have defied usage in property valuation for a long time. Instead, structured data in tabular format are commonly employed to estimate property…

Giving life to dead: role of WayBack Machine in recovery of dead URLs

Fayaz Ahmad Loan, Aasif Mohammad Khan, Syed Aasif Ahmad Andrabi, Sozia Rashid Sozia, Umer Yousuf Parray

The purpose of the present study is to identify the active and dead links of uniform resource locators (URLs) associated with web references and to compare the effectiveness of…

Savitar: an intelligent sign language translation approach for deafness and dysphonia in the COVID-19 era

Wuyan Liang, Xiaolong Xu

In the COVID-19 era, sign language (SL) translation has gained attention in online learning, which evaluates the physical gestures of each student and bridges the communication…

Performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task

Yuping Xing, Yongzhao Zhan

For ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their…

A novel word-graph-based query rewriting method for question answering

Rongen Yan, Depeng Dang, Hu Gao, Yan Wu, Wenhui Yu

Question answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different…

A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma

Anil Kumar Swain, Aleena Swetapadma, Jitendra Kumar Rout, Bunil Kumar Balabantaray

The objective of the proposed work is to identify the most commonly occurring non–small cell carcinoma types, such as adenocarcinoma and squamous cell carcinoma, within the human…

Impact of information consistency in online reviews on consumer behavior in the e-commerce industry: a text mining approach

Qinglong Li, Jaeseung Park, Jaekyeong Kim

The current study investigates the impact on perceived review helpfulness of the simultaneous processing of information from multiple cues with various central and peripheral cue…

News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks

Duen-Ren Liu, Yang Huang, Jhen-Jie Jhao, Shin-Jye Lee

Online news websites provide huge amounts of timely news, bringing the challenge of recommending personalized news articles. Generative adversarial networks (GAN) based on…

Channel attention-based spatial-temporal graph neural networks for traffic prediction

Bin Wang, Fanghong Gao, Le Tong, Qian Zhang, Sulei Zhu

Traffic flow prediction has always been a top priority of intelligent transportation systems. There are many mature methods for short-term traffic flow prediction. However, the…

Music sentiment classification based on an optimized CNN-RF-QPSO model

Rui Tian, Ruheng Yin, Feng Gan

Music sentiment analysis helps to promote the diversification of music information retrieval methods. Traditional music emotion classification tasks suffer from high manual…

A model of image retrieval based on KD-Tree Random Forest

Nguyen Thi Dinh, Nguyen Thi Uyen Nhi, Thanh Manh Le, Thanh The Van

The problem of image retrieval and image description exists in various fields. In this paper, a model of content-based image retrieval and image content extraction based on the…

Data mining–based stock price prediction using hybridization of technical and fundamental analysis

Jasleen Kaur, Khushdeep Dharni

The stock market generates massive databases of various financial companies that are highly volatile and complex. To forecast daily stock values of these companies, investors…

A new method based on ensemble time series for fast and accurate clustering

Ali Ghorbanian, Hamideh Razavi

The common methods for clustering time series are the use of specific distance criteria or the use of standard clustering algorithms. Ensemble clustering is one of the common…

Sentiment analysis of the Algerian social movement inception

Meriem Laifa, Djamila Mohdeb

This study provides an overview of the application of sentiment analysis (SA) in exploring social movements (SMs). It also compares different models for a SA task of Algerian…

Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis

Rucha Wadapurkar, Sanket Bapat, Rupali Mahajan, Renu Vyas

Ovarian cancer (OC) is the most common type of gynecologic cancer in the world with a high rate of mortality. Due to manifestation of generic symptoms and absence of specific…

A meta-analysis of social commerce adoption and the moderating effect of culture

Ning Wang, Yang Zhao, Ruoxin Zhou

As a derivative model of e-commerce, social commerce has received increasing attention in recent years. Empirical studies on social commerce have examined the key factors that…

Risk assessment in machine learning enhanced failure mode and effects analysis

Zeping Wang, Hengte Du, Liangyan Tao, Saad Ahmed Javed

The traditional failure mode and effect analysis (FMEA) has some limitations, such as the neglect of relevant historical data, subjective use of rating numbering and the less…

Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform

Ying Yu, Jing Ma

The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee…

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning

Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri

Histopathology biopsy imaging is currently the gold standard for the diagnosis of breast cancer in clinical practice. Pathologists examine the images at various magnifications to…

Machine learning methods for results merging in patent retrieval

Vasileios Stamatis, Michail Salampasis, Konstantinos Diamantaras

In federated search, a query is sent simultaneously to multiple resources and each one of them returns a list of results. These lists are merged into a single list using the…

Multi-relation global context learning for session-based recommendation

Yishan Liu, Wenming Cao, Guitao Cao

Session-based recommendation aims to predict the user's next preference based on the user's recent activities. Although most existing studies consider the global characteristics…

Chinese sentiment analysis model by integrating multi-granularity semantic features

Zhongbao Liu, Wenjuan Zhao

In recent years, Chinese sentiment analysis has made great progress, but the characteristics of the language itself and downstream task requirements were not explored thoroughly…

Identifying surface points based on machine learning algorithms: a comprehensive analysis

Vahide Bulut

Surface curvature is needed to analyze the range data of real objects and is widely applied in object recognition and segmentation, robotics, and computer vision. Therefore, it is…

Collaboration and interaction with smart mechanisms in flipped classrooms

Wu-Yuin Hwang, Rio Nurtantyana, Uun Hariyanti

This study aimed to investigate learning behaviors deeply in flipped classrooms. In addition, it is worth considering how to help learners through recognition technology with…

CommunityGCN: community detection using node classification with graph convolution network

Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi

A community demonstrates the unique qualities and relationships between its members that distinguish it from other communities within a network. Network analysis relies heavily on…

Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research

Zheng Wang, Ying Ji, Tao Zhang, Yuanming Li, Lun Wang, Shaojian Qu

With the continuous development of online shopping, analyzing the competitiveness of products in the fierce market competition is becoming increasingly crucial to position their…

Joint modeling method of question intent detection and slot filling for domain-oriented question answering system

Huiyong Wang, Ding Yang, Liang Guo, Xiaoming Zhang

Intent detection and slot filling are two important tasks in question comprehension of a question answering system. This study aims to build a joint task model with some…

Topic optimization–incorporated collaborative recommendation for social tagging

Xuwei Pan, Xuemei Zeng, Ling Ding

With the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity…

Analyzing students' attention by gaze tracking and object detection in classroom teaching

Hui Xu, Junjie Zhang, Hui Sun, Miao Qi, Jun Kong

Attention is one of the most important factors to affect the academic performance of students. Effectively analyzing students' attention in class can promote teachers' precise…

SeaRank: relevance prediction based on click models in a reinforcement learning framework

Amir Hosein Keyhanipour, Farhad Oroumchian

User feedback inferred from the user's search-time behavior could improve the learning to rank (L2R) algorithms. Click models (CMs) present probabilistic frameworks for describing…

Construction of public security indicators based on characteristics of shared group behavior patterns

XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li Shen

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points…

TMsDP: two-stage density peak clustering based on multi-strategy optimization

Jie Ma, Zhiyuan Hao, Mo Hu

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and…