Frontiers in Big Data

Original Research

Published on 08 Oct 2026

Reliability-aware ensemble recommendation for open-network commerce: a dual-metric framework for jointly evaluating ranking accuracy and serving correctness

in Recommender Systems

Rish Praveen S
Vani Rajasekar

Frontiers in Big Data

doi 10.3389/fdata.2026.1911540

424 views

Data Report

Published on 08 Oct 2026

DermArtifactDB: a multi-label dataset for artifact annotation in public dermoscopic image repositories

in Medicine and Public Health

Vanesa Gómez-Martínez
David Chushig-Muzo
Isabel Polimón-Olabarrieta
Cristina Soguero-Ruiz

Frontiers in Big Data

doi 10.3389/fdata.2026.1866430

395 views

Conceptual Analysis

Accepted on 07 Oct 2026

Indirect tax accountability as record agreement: inventory accounting and auditing under digital technologies and big data

in Data Analytics for Social Impact

Nigora Alimkhanova
Rakhmonkul Hamidovich Djalilov
Salima Rayimovna Egamberdieva
Jasurbek Anvarovich Ismatullaev
Otabek Normamatovich Kholmuradov
Jura Oramov
Jakhongir Juraevich Oramov
Lobarkhon Anvarova
Asqarjon Asrorovich Raimberdiev

Frontiers in Big Data

Editorial

Published on 05 Oct 2026

Editorial: Responsible and robust evaluation for real-world recommendation and search systems

in Recommender Systems

Alejandro Bellogín
Pablo Sánchez
Laura Sebastiá

Frontiers in Big Data

doi 10.3389/fdata.2026.1995917

359 views

Systematic Review

Published on 05 Oct 2026

Big data analytics and sentiment analysis for health misinformation detection: a systematic literature review of influencing factors, implementation challenges and a data-driven adoption framework

in Data Mining and Management

Khurram Shahzad
Asfa Muhammed Din Javeed
Shakil Ahmad
Mujahid Latif
Kashaf Saleem

Frontiers in Big Data

doi 10.3389/fdata.2026.1948398

429 views

Correction

Accepted on 01 Oct 2026

Correction: Machine-assisted adaptive feedback consensus method for large-scale group decision making based on reinforcement learning

in Machine Learning

Hongyu Yu
Xuanhua Xu
Weiwei Zhang

Frontiers in Big Data

105 views

Original Research

Accepted on 28 Sep 2026

How Transport Coverage Shapes Access to Opportunities: A National-Scale Isochrone Analysis of Bus Network Accessibility in England

in Data Analytics for Social Impact

Federico Botta
Sam Townley

Frontiers in Big Data

175 views

Brief Research Report

Accepted on 28 Sep 2026

From benchmark to user: an end-to-end evaluation audit of an AI-based oral health screening prototype

in Medicine and Public Health

Ivan Cheng Jun Char
Abdullah Sayed Ahmed Sayed
Kazuki Ichikawa
Youssif Mahmoud Gomaa Sayed
Abdurrahman Bin Milhan
Doreen Ying Ying Sim
Anand Ramanathan

Frontiers in Big Data

172 views

Conceptual Analysis

Accepted on 28 Sep 2026

Managing Quality-Oriented Big Data: A Conceptual Architecture for Acquisition, Fusion, and Analytics in Data-Driven Organizations

in Data Mining and Management

Shahlokhon Gafurova
Rahmatov Shukhrat
Zakhidova Umida
Rakhimova Dilnoza
Kabilova Gulshan

Frontiers in Big Data

142 views

Perspective

Published on 28 Sep 2026

Controlled knowledge updating in memory-enabled AI agents: beyond model editing and recall

in Machine Learning

Gabriel Chavira Juárez
Eder Jahir Gonzalez Bravo
Guadalupe Esmeralda Rivera García
Javier A. Arcos Espinosa
Salvador W. Nava-Díaz

Frontiers in Big Data

doi 10.3389/fdata.2026.1938137

1,056 views

Original Research

Published on 24 Sep 2026

Anticipating user desires: predicting software product feature demand through consumer behavioral analytics

in Machine Learning

Abdullah A. Aldaeej

Frontiers in Big Data

doi 10.3389/fdata.2026.1931695

680 views

Original Research

Published on 24 Sep 2026

Machine-assisted adaptive feedback consensus method for large-scale group decision making based on reinforcement learning

in Machine Learning

Hongyu Yu
Xuanhua Xu
Weiwei Zhang

Frontiers in Big Data

doi 10.3389/fdata.2026.1921037

719 views

Original Research

Published on 23 Sep 2026

Evaluating the reach and equity of public spaces in Mexico City using mobility data: the case of the Utopías in Iztapalapa

in Data Analytics for Social Impact

Ollin D. Langle-Chimal
Natalia Cadavid-Aguilar
Alberto Meouchi-Vélez
Roberto Ponce-López

Frontiers in Big Data

doi 10.3389/fdata.2026.1942458

790 views

Original Research

Accepted on 18 Sep 2026

A RETRIEVAL-AUGMENTED MULTI-STAGE PROMPTING FRAMEWORK FOR LEGAL ANALYSIS IN THE INDIAN JUDICIAL SYSTEM

in Machine Learning

Kanishkavardhan P
Gowtham S
Maheswari N

Frontiers in Big Data

388 views

Opinion

Published on 18 Sep 2026

Humans as infrastructure: is AI-initiated steganography in social media possible?

in Cybersecurity and Privacy

Daniele Ortu

Frontiers in Big Data

doi 10.3389/fdata.2026.1923373

1,192 views

Original Research

Published on 15 Sep 2026

From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock

in Data Analytics for Social Impact

Yilun Xu
Mohsen Bahrami
Alex Pentland

Frontiers in Big Data

doi 10.3389/fdata.2026.1776172

1,101 views

Original Research

Published on 14 Sep 2026

Voluntary disclosure, banking stability, and AI-augmented forensic accounting: an exploratory econometric and machine-learning study of Palestinian banks

in Data Analytics for Social Impact

Bahaa Subhi Razia
Najwan Ibrahim Jadallah
Qasim Zureigat
Reem Khamis
Bahaa Subhi Awwad

Frontiers in Big Data

doi 10.3389/fdata.2026.1914133

939 views

Review

Published on 14 Sep 2026

Algorithmic advances in smart TV content recommendation: a structured evidence-mapping review

in Recommender Systems

Zhe Chen
Jing He
Yuanjia Gong
Junge Liang
Jilong Li

Frontiers in Big Data

doi 10.3389/fdata.2026.1927033

761 views

Original Research

Published on 14 Sep 2026

An empirical test of antecedents and perceived performance of big data analytics in telecommunication companies

in Network Science and Graph Data

Ibrahim Magboul
Diaeldin Osman
Fadi Herzallah
Alnour Nadir Osman
Dexter Gittens

Frontiers in Big Data

doi 10.3389/fdata.2026.1763520

1,697 views

Original Research

Accepted on 11 Sep 2026

The Cognitive City Cybersecurity Readiness Index (C3RI): An Evidence-Based Model for AI-Driven Urban Infrastructure

in Cybersecurity and Privacy

Reem Alshareef
Mahmood Niazi
Mohammad Alshayeb
Sajjad Mahmood

Frontiers in Big Data

636 views

Original Research

Published on 11 Sep 2026

Data-driven adaptive hybrid models for exchange rate return forecasting

in Machine Learning and Artificial Intelligence

Olumide Sunday Adesina
Lawrence Ogechukwu Obokoh

Frontiers in Big Data

doi 10.3389/fdata.2026.1917723

1,018 views

Editorial

Published on 10 Sep 2026

Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction

in Data Mining and Management

Leonard Barolli
Antonino Ferraro
Antonio Galli
Francesco Moscato

Frontiers in Big Data

doi 10.3389/fdata.2026.1954626

1,091 views

Original Research

Published on 10 Sep 2026

IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15

in Cybersecurity and Privacy

Nachaat Mohamed
Hamed Taherdoost

Frontiers in Big Data

doi 10.3389/fdata.2026.1885965

1,050 views

Original Research

Published on 10 Sep 2026

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English

in Machine Learning and Artificial Intelligence

Sandugash Serikbayeva
Madina Sambetbayeva
Valiya Ramazanova
Aigerim Yerimbetova
Zhanar Lamasheva
Zhanna Sadirmekova
Ardak Batyrkhanov
Yersaiyn Mailybayev

Frontiers in Big Data

doi 10.3389/fdata.2026.1900836

958 views

801 articles

articles

Reliability-aware ensemble recommendation for open-network commerce: a dual-metric framework for jointly evaluating ranking accuracy and serving correctness

DermArtifactDB: a multi-label dataset for artifact annotation in public dermoscopic image repositories

Indirect tax accountability as record agreement: inventory accounting and auditing under digital technologies and big data

Editorial: Responsible and robust evaluation for real-world recommendation and search systems

Big data analytics and sentiment analysis for health misinformation detection: a systematic literature review of influencing factors, implementation challenges and a data-driven adoption framework

Correction: Machine-assisted adaptive feedback consensus method for large-scale group decision making based on reinforcement learning

How Transport Coverage Shapes Access to Opportunities: A National-Scale Isochrone Analysis of Bus Network Accessibility in England

From benchmark to user: an end-to-end evaluation audit of an AI-based oral health screening prototype

Managing Quality-Oriented Big Data: A Conceptual Architecture for Acquisition, Fusion, and Analytics in Data-Driven Organizations

Controlled knowledge updating in memory-enabled AI agents: beyond model editing and recall

Anticipating user desires: predicting software product feature demand through consumer behavioral analytics

Machine-assisted adaptive feedback consensus method for large-scale group decision making based on reinforcement learning

Evaluating the reach and equity of public spaces in Mexico City using mobility data: the case of the Utopías in Iztapalapa

A RETRIEVAL-AUGMENTED MULTI-STAGE PROMPTING FRAMEWORK FOR LEGAL ANALYSIS IN THE INDIAN JUDICIAL SYSTEM

Humans as infrastructure: is AI-initiated steganography in social media possible?

From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock

Voluntary disclosure, banking stability, and AI-augmented forensic accounting: an exploratory econometric and machine-learning study of Palestinian banks

Algorithmic advances in smart TV content recommendation: a structured evidence-mapping review

An empirical test of antecedents and perceived performance of big data analytics in telecommunication companies

The Cognitive City Cybersecurity Readiness Index (C3RI): An Evidence-Based Model for AI-Driven Urban Infrastructure

Data-driven adaptive hybrid models for exchange rate return forecasting

Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction

IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English