Big data

Keyphrases

Publications

2024

Laila Faridoon, Wei Liu, Crawford Spence
The Impact of Big Data Analytics on Decision-Making Within the Government Sector. Big data (2024)
Sajid Yousuf Bhat, Muhammad Abulaish
A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks. Big data (2024)
Farhad Pourkamali-Anaraki
Special Issue: Big Scientific Data and Machine Learning in Science and Engineering. Big data (2024)
Guillermo Vinué
A Basketball Big Data Platform for Box Score and Play-by-Play Data. Big data (2024)
Shengwen Li, Chaofan Fan, Tianci Li, Renyao Chen, Qingyuan Liu, Shengwen Li
Content-Aware Human Mobility Pattern Extraction. Big data (2024)
Jumadil Saputra, Kasypi Mokhtar, Anuar Abu Bakar, Siti Marsila Mhd Ruslan
Investigating the Co-Movement and Asymmetric Relationships of Oil Prices on the Shipping Stock Returns: Evidence from Three Shipping-Flagged Companies from Germany, South Korea, and Taiwan. Big data (2024)
Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, Claudio A Ardagna
Balancing Protection and Quality in Big Data Analytics Pipelines. Big data (2024)
Zhenzhen Yang, Zelong Lin, Yongpeng Yang, Jiaqi Li
Dual-Path Graph Neural Network with Adaptive Auxiliary Module for Link Prediction. Big data (2024)
Hong Wang, Ling Hong
A Fast Survival Support Vector Regression Approach to Large Scale Credit Scoring via Safe Screening. Big data (2024)
Yinuo Qian, Fuzhong Nian, Zheming Wang, Yabing Yao
Research on the Influence of Information Iterative Propagation on Complex Network Structure. Big data (2024)
Melina Melina, Sukono, Herlina Napitupulu, Norizan Mohamed
Modeling of Machine Learning-Based Extreme Value Theory in Stock Investment Risk Prediction: A Systematic Literature Review. Big data (2024)

volume 12, number 4, 2024

Farhad Pourkamali-Anaraki
Special Issue: Big Scientific Data and Machine Learning in Science and Engineering. Big data 12 (4) (2024)

2023

Vijay Srinivas Tida, Sonya Hsu, Xiali Hei
A Unified Training Process for Fake News Detection Based on Finetuned Bidirectional Encoder Representation from Transformers Model. Big data (2023)
Zhengyang Hu, Weiwei Lin, Xiaoying Ye, Haojun Xu, Haocheng Zhong, Huikang Huang, Xinyang Wang
Generic User Behavior: A User Behavior Similarity-Based Recommendation Method. Big data (2023)
Michael Crawford, Francisca Flores, Marynia Kolak, Amy Hawn Nelson, Malaika Simmons
Importance of Community Engagement in Data Decision Making. Big data (2023)
Enes Gul, Mir Jafar Sadegh Safari
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport. Big data (2023)
Zhengyang Hu, Weiwei Lin, Xiaoying Ye, Haojun Xu, Haocheng Zhong, Huikang Huang, Xinyang Wang
Generic User Behavior: A User Behavior Similarity-Based Recommendation Method. Big data (2023)
Panfeng Liu, Longjie Li, Yanhong Wen, Shiyu Fang
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism. Big data (2023)
Dipesh Kumar, Nirupama Mandal, Yugal Kumar
Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling. Big data (2023)
Shengbin Liang, Jiangyong Jin, Jia Ren, Wencai Du, Shenming Qu
An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation. Big data (2023)
Asefeh Asemi, Adeleh Asemi, Andrea Ko
Investment Recommender System Model Based on the Potential Investors' Key Decision Factors. Big data (2023)
Zulfiqar Nazish, Masood Siddiqui Adil, Ahmad Awais, Waseem Iqbal, Muhammad Imran, Imran Tauqir, Munir Wajiha
An Improved Multiexposure Image Fusion Technique. Big data (2023)
Jing Wei, Yuguang Jia, Wanyi Tie, Hengmin Zhu, Weidong Huang
Opinion Evolution with Information Quality of Public Person and Mass Acceptance Threshold. Big data (2023)
Babak Vaheddoost, Shervin Rahimzadeh Arashloo, Mir Jafar Sadegh Safari
Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression. Big data (2023)
Oznur Ozaltin, Özgür Yeniay, Abdulhamit Subasi
OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans. Big data (2023)
Thi Ngoc Anh Nguyen, Hoai Thu Vu, Minh Tuan Dang, Dohyeun Kim, Anh Ngoc Le
Anomaly Detection in Automatic Meter Intelligence System Using Positive Unlabeled Learning and Multiple Symbolic Aggregate Approximation. Big data (2023)
Wataru Sasaki, Satoki Hamanaka, Satoko Miyahara, Kota Tsubouchi, Jin Nakazawa, Tadashi Okoshi
Large-Scale Estimation and Analysis of Web Users' Mood from Web Search Query and Mobile Sensor Data. Big data (2023)
Zhengyang Hu, Weiwei Lin, Xiaoying Ye, Haojun Xu, Haocheng Zhong, Huikang Huang, Xinyang Wang
Generic User Behavior: A User Behavior Similarity-Based Recommendation Method. Big data (2023)
Idan Weiss, Dan Vilenchik
Predicting Churn in Online Games by Quantifying Diversity of Engagement. Big data (2023)
Shadi A Aljawarneh, Romesaa Al-Quraan
Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images. Big data (2023)
Anmol Gupta, Ronnie Daniel, Akash Rao, Partha Pratim Roy, Sushil Chandra, Byung-Gyu Kim
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning. Big data (2023)
Farah Haneef, Muddassar A Sindhu
IDLIQ: An Incremental Deterministic Finite Automaton Learning Algorithm Through Inverse Queries for Regular Grammar Inference. Big data (2023)
Xinyue Zhang, Chen Ding, Guizhi Wang
An Autoregressive-Based Kalman Filter Approach for Daily PM 2.5 Concentration Forecasting in Beijing, China. Big data (2023)
Gergely Kocsis, Imre Varga
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis. Big data (2023)
Claudio A Ardagna, Nicola Bena, Cedric Hebert, Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Big Data Assurance: An Approach Based on Service-Level Agreements. Big data (2023)
Panfeng Liu, Longjie Li, Yanhong Wen, Shiyu Fang
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism. Big data (2023)
Gergely Kocsis, Imre Varga
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis. Big data (2023)
Panfeng Liu, Longjie Li, Yanhong Wen, Shiyu Fang
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism. Big data (2023)
Robin Van Oirbeek, Jolien Ponnet, Bart Baesens, Tim Verdonck
Computational Efficient Approximations of the Concordance Probability in a Big Data Setting. Big data (2023)
Ramkumar Jayaraman, Mohammed Alshehri, Manoj Kumar, Ahed Abugabah, Surender Singh Samant, Ahmed A Mohamed
Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain. Big data (2023)
Oded Koren, Aviel Shamalov, Nir Perel
Small Files Problem Resolution via Hierarchical Clustering Algorithm. Big data (2023)
Golsa Mahdavi, Mohammad Amin Hariri-Ardebili
Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics. Big data (2023)
Panfeng Liu, Longjie Li, Yanhong Wen, Shiyu Fang
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism. Big data (2023)

volume 11, number 1, 2023

An Chi Huang, Chun Yuan, Sheng Hui Meng, Tian Jiun Huang
Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform. Big data 11 (1) (2023)
Nam Anh Dao, Viet Bach Dao
Classifying of VN-Index Bullishness by Bayesian Inference. Big data 11 (1) (2023)
An Chi Huang, Chun Yuan, Sheng Hui Meng, Tian Jiun Huang
Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform. Big data 11 (1) (2023)
Nam Anh Dao, Viet Bach Dao
Classifying of VN-Index Bullishness by Bayesian Inference. Big data 11 (1) (2023)
Nam Anh Dao, Viet Bach Dao
Classifying of VN-Index Bullishness by Bayesian Inference. Big data 11 (1) (2023)

volume 11, number 5, 2023

Chinmay Chakraborty, Muhammad Khurram Khan
Big Data-Driven Futuristic Fabric System in Societal Digital Transformation. Big data 11 (5) (2023)

volume 11, number S1, 2023

Malaika Simmons, Rachele Hendricks-Sturrup, Gabriella Waters, Laurie Novak, Martin Were, Sajid Hussain
An Expert Panel Discussion Embedding Ethics and Equity in Artificial Intelligence and Machine Learning Infrastructure. Big data 11 (S1) (2023)