Frontiers in Big Data | Data Mining and Management

Original Research

Published on 11 May 2026

Fairness across domains: a unified fairness-aware framework for domain generalization and unsupervised adaptation

in Data Mining and Management

Kai Jiang
Chen Zhao
Haoliang Wang
Xintao Wu
Latifur Khan
Christan Grant
Feng Chen

Frontiers in Big Data

doi 10.3389/fdata.2026.1764468

368 views

Original Research

Published on 07 Apr 2026

A reinforcement learning-guided interpretable method for postoperative sepsis prediction with Hilbert-Schmidt Independence Criterion

in Data Mining and Management

Kunhua Zhong
Han Chen
Qilong Sun
Peng Wang
Zhenbei Liu
Yuwen Chen

Frontiers in Big Data

doi 10.3389/fdata.2026.1811110

457 views

Original Research

Published on 02 Apr 2026

A disease potential-driven graph attention model for comorbidity risk prediction of hypertension

in Data Mining and Management

Leming Zhou
Hanshu Qin
Yanmei Yang
Gang Huang
Zhigang Liu

Frontiers in Big Data

doi 10.3389/fdata.2026.1814157

442 views

Original Research

Published on 27 Feb 2026

GFTrans: an on-the-fly static analysis framework for code performance profiling

in Data Mining and Management

Jie Li
Yunbao Wen
Jingxin Liu
Biqing Zeng
Seyedali Mirjalili

Frontiers in Big Data

doi 10.3389/fdata.2026.1779935

476 views

Original Research

Published on 09 Feb 2026

A genetic algorithm-based framework for online sparse feature selection in data streams

in Data Mining and Management

Guanyu Liu
Jinhang Liu
Guifan He
Yifan Liu
Huabo Bai
Min Zhou

Frontiers in Big Data

doi 10.3389/fdata.2026.1782461

869 views

Original Research

Published on 02 Feb 2026

Adaptive core-enhanced latent factor model for highly accurate QoS prediction

in Data Mining and Management

Siqi Ai
Peixin Li
Hao Fang
Yonghui Xia

Frontiers in Big Data

doi 10.3389/fdata.2026.1775728

708 views

Original Research

Published on 14 Jan 2026

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

in Data Mining and Management

Keke Zhang
Mingyu Guan
Chao Wu
Yutong Li
Qingguo Lü
Yi Liu
Yi Wang
Wei Wang
Wei Zhang

Frontiers in Big Data

doi 10.3389/fdata.2025.1753871

1,226 views

Original Research

Published on 19 Dec 2025

Time series forecasting for bug resolution using machine learning and deep learning models

in Data Mining and Management

Lerina Aversano
Martina Iammarino
Antonella Madau
Fabiano Pecorelli

Frontiers in Big Data

doi 10.3389/fdata.2025.1745751

2,677 views

Original Research

Published on 24 Nov 2025

M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring

in Data Mining and Management

Kexin Ning
Qingguo Lü
Xiaofeng Liao

Frontiers in Big Data

doi 10.3389/fdata.2025.1704189

1,230 views
1 citation

Original Research

Published on 14 Oct 2025

Research on optimization of personalized recommendation method based on RFMQ model— taking outdoor sports products in cross-border e-commerce as an example

in Data Mining and Management

Qianlan Chen
Chupeng Chen
Zubai Jiang
Chaoling Li
Yangxizi Tan
Niannian Li
Bolin Zhou
Bingxian Yang

Frontiers in Big Data

doi 10.3389/fdata.2025.1680669

2,054 views
1 citation

Original Research

Published on 29 Jul 2025

OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection

in Data Mining and Management

Fatema-E Jannat
Sina Gholami
Minhaj Nur Alam
Hamed Tabkhi

Frontiers in Big Data

doi 10.3389/fdata.2025.1609124

3,126 views
5 citations

Review

Published on 10 Jul 2025

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications

in Data Mining and Management

Fangling Wang
Azlan Mohd Zain
Yanjie Ren
Mahadi Bahari
Azurah A. Samah
Zuraini Binti Ali Shah
Norfadzlan Bin Yusup
Rozita Abdul Jalil
Azizah Mohamad
Nurulhuda Firdaus Mohd Azmi

Frontiers in Big Data

doi 10.3389/fdata.2025.1624507

6,591 views
2 citations

Original Research

Published on 06 Jun 2025

Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment

in Data Mining and Management

Jiandong Si
Chang Liu
Jingxian Ye
Jianfeng Wu
Jianguo Wang
Kairui Hu
Chunhua Ju
Qianwen Cao

Frontiers in Big Data

doi 10.3389/fdata.2025.1603106

3,176 views
1 citation

Original Research

Published on 04 Jun 2025

Sliding window based rare partial periodic pattern mining algorithms over temporal data streams

in Data Mining and Management

K. Jyothi Upadhya
Ronan Lobo
Mini Shail Chhabra
Aman Paleja
B. Dinesh Rao
Geetha M.
Prachi Sisodia
Bolusani Akshita Reddy

Frontiers in Big Data

doi 10.3389/fdata.2025.1600267

3,189 views

Original Research

Published on 19 Feb 2025

Cloud computing convergence: integrating computer applications and information management for enhanced efficiency

in Data Mining and Management

Guo Zhang

Frontiers in Big Data

doi 10.3389/fdata.2025.1508087

9,277 views
6 citations

Original Research

Published on 10 Feb 2025

Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph

in Data Mining and Management

Houdie Tu
Lei Li
Zhenchao Tao
Zan Zhang

Frontiers in Big Data

doi 10.3389/fdata.2025.1546850

2,215 views

Editorial

Published on 04 Feb 2025

Editorial: Visualizing big culture and history data

in Data Mining and Management

Florian Windhager
Steffen Koch
Sander Münster
Eva Mayr

Frontiers in Big Data

doi 10.3389/fdata.2025.1563730

2,845 views

Data Report

Published on 27 Nov 2024

TSPDB: a curated resource of tailspike proteins with potential applications in phage research

in Data Mining and Management

Opeyemi U. Lawal
Lawrence Goodridge

Frontiers in Big Data

doi 10.3389/fdata.2024.1437580

2,403 views
4 citations

Methods

Published on 20 Nov 2024

Efficient out-of-distribution detection via layer-adaptive scoring and early stopping

in Data Mining and Management

Haoliang Wang
Chen Zhao
Feng Chen

Frontiers in Big Data

doi 10.3389/fdata.2024.1444634

1,891 views
3 citations

Original Research

Published on 19 Nov 2024

ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs

in Data Mining and Management

Zohreh Raghebi
Farnoush Banaei-Kashani

Frontiers in Big Data

doi 10.3389/fdata.2024.1427104

1,744 views

Original Research

Published on 08 Nov 2024

Cultural big data: nineteenth to twenty-first century panoramic visualization

in Data Mining and Management

Tsz Kin Chau
Paul Bourke
Lily Hibberd
Daniel Jaquet
Sarah Kenderdine

Frontiers in Big Data

doi 10.3389/fdata.2024.1309887

4,353 views
2 citations

Original Research

Published on 24 Oct 2024

Promoting fairness in link prediction with graph enhancement

in Data Mining and Management

Yezi Liu
Hanning Chen
Mohsen Imani

Frontiers in Big Data

doi 10.3389/fdata.2024.1489306

2,750 views
5 citations

Original Research

Published on 11 Oct 2024

Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub

in Data Mining and Management

Bylhah Mugotitsa
Tathagata Bhattacharjee
Michael Ochola
Dorothy Mailosi
David Amadi
Pauline Andeso
Joseph Kuria
Reinpeter Momanyi
Evans Omondi
Dan Kajungu

Frontiers in Big Data

doi 10.3389/fdata.2024.1435510

4,587 views
4 citations

Original Research

Published on 07 Oct 2024

Ontology extension by online clustering with large language model agents

in Data Mining and Management

Guanchen Wu
Chen Ling
Ilana Graetz
Liang Zhao

Frontiers in Big Data

doi 10.3389/fdata.2024.1463543

4,449 views
3 citations

186 articles

articles

Fairness across domains: a unified fairness-aware framework for domain generalization and unsupervised adaptation

A reinforcement learning-guided interpretable method for postoperative sepsis prediction with Hilbert-Schmidt Independence Criterion

A disease potential-driven graph attention model for comorbidity risk prediction of hypertension

GFTrans: an on-the-fly static analysis framework for code performance profiling

A genetic algorithm-based framework for online sparse feature selection in data streams

Adaptive core-enhanced latent factor model for highly accurate QoS prediction

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

Time series forecasting for bug resolution using machine learning and deep learning models

M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring

Research on optimization of personalized recommendation method based on RFMQ model— taking outdoor sports products in cross-border e-commerce as an example

OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications

Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment

Sliding window based rare partial periodic pattern mining algorithms over temporal data streams

Cloud computing convergence: integrating computer applications and information management for enhanced efficiency

Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph

Editorial: Visualizing big culture and history data

TSPDB: a curated resource of tailspike proteins with potential applications in phage research

Efficient out-of-distribution detection via layer-adaptive scoring and early stopping

ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs

Cultural big data: nineteenth to twenty-first century panoramic visualization

Promoting fairness in link prediction with graph enhancement

Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub

Ontology extension by online clustering with large language model agents