On the public citation graph
Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model
0 signed · 173 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1477-8696.1993.tb05828.xopenalex-snapshot
The influence of weather and climate on recreation and tourism
inferredcites →https://doi.org/10.1007/978-3-319-14343-9_13openalex-snapshot
A Practical Approach to Big Data in Tourism: A Low Cost Raspberry Pi Cluster
inferredcites →https://doi.org/10.1007/978-3-319-18533-0_1openalex-snapshot
‘Big Data’ Decision Making Use Cases
inferredcites →https://doi.org/10.1007/978-3-662-48386-2_37openalex-snapshot
Cross-Media Big Data Tourism Perception Research Based on Multi-Agent
inferredcites →https://doi.org/10.1007/978-81-322-2494-5_1openalex-snapshot
Big Data: An Introduction
inferredcites →https://doi.org/10.1007/s00484-003-0177-zopenalex-snapshot
Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector
inferredcites →https://doi.org/10.1007/s10584-006-9081-yopenalex-snapshot
Uncertainties in Predicting Tourist Flows Under Scenarios of Climate Change
inferredcites →https://doi.org/10.1007/s10584-010-9873-yopenalex-snapshot
The impact of weather variability on British outbound flows
inferredcites →https://doi.org/10.1016/0160-7383(79)90004-5openalex-snapshot
Motivations for pleasure vacation
inferredcites →https://doi.org/10.1016/0169-2070(95)00591-7openalex-snapshot
Forecasting tourism demand: A review of empirical research
inferredcites →https://doi.org/10.1016/j.annals.2004.08.004openalex-snapshot
Weather, climate and tourism a geographical perspective
inferredcites →https://doi.org/10.1016/j.annals.2011.11.002openalex-snapshot
Consumer behaviour and demand response of tourists to climate change
inferredcites →https://doi.org/10.1016/j.annals.2016.02.005openalex-snapshot
Application of text mining in tourism: Case of Croatia
inferredcites →https://doi.org/10.1016/j.annals.2016.10.007openalex-snapshot
Forecasting city arrivals with Google Analytics
inferredcites →https://doi.org/10.1016/j.bdr.2015.01.005openalex-snapshot
Big Data and Science: Myths and Reality
inferredcites →https://doi.org/10.1016/j.bdr.2015.01.006openalex-snapshot
Significance and Challenges of Big Data Research
inferredcites →https://doi.org/10.1016/j.bdr.2015.02.002openalex-snapshot
Promises and Challenges of Big Data Computing in Health Sciences
inferredcites →https://doi.org/10.1016/j.bdr.2015.02.006openalex-snapshot
Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix
inferredcites →https://doi.org/10.1016/j.bdr.2015.08.001openalex-snapshot
Privacy Aware Access Control for Big Data: A Research Roadmap
inferredcites →https://doi.org/10.1016/j.bdr.2015.12.002openalex-snapshot
Analysis of a Network IO Bottleneck in Big Data Environments Based on Docker Containers
inferredcites →https://doi.org/10.1016/j.bdr.2015.12.003openalex-snapshot
Big Sensor Data Applications in Urban Environments
inferredcites →https://doi.org/10.1016/j.datak.2006.04.002openalex-snapshot
Transforming arbitrary tables into logical form with TARTAR
inferredcites →https://doi.org/10.1016/j.datak.2009.04.002openalex-snapshot
Improving the performance of focused web crawlers
inferredcites →https://doi.org/10.1016/j.eswa.2014.05.045openalex-snapshot
A novel deterministic approach for aspect-based opinion mining in tourism products reviews
inferredcites →https://doi.org/10.1016/j.ijforecast.2010.04.009openalex-snapshot
The tourism forecasting competition
inferredcites →https://doi.org/10.1016/j.ijhm.2014.10.013openalex-snapshot
What can big data and text analytics tell us about hotel guest experience and satisfaction?
inferredcites →https://doi.org/10.1016/j.im.2016.11.011openalex-snapshot
A Big Data Analytics Method for Tourist Behaviour Analysis
inferredcites →https://doi.org/10.1016/j.ins.2011.08.022openalex-snapshot
An architecture for a focused trend parallel Web crawler with the application of clickstream analysis
inferredcites →https://doi.org/10.1016/j.jdmm.2014.08.002openalex-snapshot
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
inferredcites →https://doi.org/10.1016/j.jdmm.2015.06.004openalex-snapshot
Tourism analytics with massive user-generated content: A case study of Barcelona
inferredcites →https://doi.org/10.1016/j.jnca.2004.01.001openalex-snapshot
Learnable topic-specific web crawler
inferredcites →https://doi.org/10.1016/j.knosys.2016.11.008openalex-snapshot
An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities
inferredcites →https://doi.org/10.1016/j.sbspro.2015.01.1193openalex-snapshot
The Difference of Japanese Spa Tourists Motivation in Weekends and Weekdays
inferredcites →https://doi.org/10.1016/j.tmp.2012.11.001openalex-snapshot
Weather, climate, and tourism performance: A quantitative analysis
inferredcites →https://doi.org/10.1016/j.tmp.2012.11.006openalex-snapshot
A review of tourism and climate change as an evolving knowledge domain
inferredcites →https://doi.org/10.1016/j.tmp.2013.11.001openalex-snapshot
Impact of weather conditions on tourism demand in the peak summer season over the last 50years
inferredcites →https://doi.org/10.1016/j.tourman.2004.09.004openalex-snapshot
Forecasting international tourist flows to Macau
inferredcites →https://doi.org/10.1016/j.tourman.2006.04.020openalex-snapshot
Implications of climate and environmental change for nature-based tourism in the Canadian Rocky Mountains: A case study of Waterton Lakes National Park
inferredcites →https://doi.org/10.1016/j.tourman.2007.07.016openalex-snapshot
Tourism demand modelling and forecasting—A review of recent research
inferredcites →https://doi.org/10.1016/j.tourman.2014.06.017openalex-snapshot
Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data
inferredcites →https://doi.org/10.1016/j.tourman.2014.07.019openalex-snapshot
Forecasting Chinese tourist volume with search engine data
inferredcites →https://doi.org/10.1016/j.tourman.2016.03.007openalex-snapshot
Development pattern, classification and evaluation of the tourism academic community in China in the last ten years: From the perspective of big data of articles of tourism academic journals
inferredcites →https://doi.org/10.1016/j.tourman.2016.03.015openalex-snapshot
The Baidu Index: Uses in predicting tourism flows –A case study of the Forbidden City
inferredcites →https://doi.org/10.1016/j.tourman.2016.04.008openalex-snapshot
A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data
inferredcites →https://doi.org/10.1016/j.tourman.2016.07.005openalex-snapshot
Forecasting tourism demand with composite search index
inferredcites →https://doi.org/10.1016/j.tourman.2016.08.012openalex-snapshot
Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews
inferredcites →https://doi.org/10.1016/s0261-5177(00)00030-3openalex-snapshot
Tourism destination images of Turkey, Egypt, Greece, and Italy as perceived by US-based tour operators and travel agents
inferredcites →https://doi.org/10.1016/s2212-5671(15)00471-2openalex-snapshot
Using Opinion Mining Techniques in Tourism
inferredcites →https://doi.org/10.1080/13683500.2013.774323openalex-snapshot
Tourism, climate change and adaptation: a review
inferredcites →https://doi.org/10.1080/13683500802596367openalex-snapshot
Welcome to the Wet Tropics: the importance of weather in reef tourism resilience1
inferredcites →https://doi.org/10.1080/14724049.2011.647918openalex-snapshot
Why did they not visit? Examining structural constraints to visit Kafue National Park, Zambia
inferredcites →https://doi.org/10.1108/eb058303openalex-snapshot
Weather and holiday destination preferences image, attitude and experience
inferredcites →https://doi.org/10.1177/0047287507299569openalex-snapshot
Destination Image and Its Functional Relationships
inferredcites →https://doi.org/10.1177/1096348009349820openalex-snapshot
Destination Branding Case Study: Tracking Brand Equity for an Emerging Destination Between 2003 and 2007
inferredcites →https://doi.org/10.1177/1356766712457104openalex-snapshot
The influence of the weather on tourist experiences
inferredcites →https://doi.org/10.2307/41703503openalex-snapshot
Business Intelligence and Analytics: From Big Data to Big Impact
inferredcites →https://doi.org/10.3354/cr031109openalex-snapshot
Impacts of short-term climate variability in the UK on demand for domestic and international tourism
inferredcites →https://doi.org/10.5367/000000009789955161openalex-snapshot
Impacts of Climate Change on Domestic Tourism in the UK: A Panel Data Estimation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4658702openalex-extracted
Can Big Data from Airbnb improve the forecasting of tourism inflow?
inferred← citeshttps://doi.org/10.1002/itl2.597openalex-snapshot
Digital Economy Oriented Tourism Industry Data Analysis in Semantic IoT
inferred← citeshttps://doi.org/10.1002/jtr.2331openalex-snapshot
Does advance booking matter in hedonic pricing? A new multivariate approach
inferred← citeshttps://doi.org/10.1007/978-3-030-00006-6_53openalex-snapshot
Influencing Factors Analysis of Desert Precipitation Based on Big Data
inferred← citeshttps://doi.org/10.1007/978-3-030-94751-4_18openalex-snapshot
Destinations and Data State-of-the-Art in Switzerland and Liechtenstein
inferred← citeshttps://doi.org/10.1007/978-3-032-06372-4_35openalex-snapshot
Forecasting Daily Tourist Arrivals Based on Clustering
inferred← citeshttps://doi.org/10.1007/978-981-15-0121-0_8openalex-snapshot
Systematic Framework of the All-for-One Tourism Digital Ecosystem
inferred← citeshttps://doi.org/10.1007/978-981-19-5209-8_13openalex-snapshot
How is the Power of the Baidu Index for Forecasting Hotel Guest Arrivals? –A Case Study of Guilin
inferred← citeshttps://doi.org/10.1007/978-981-99-1157-8_67openalex-snapshot
Tourist Flow Forecast Based on Data Mining Technology
inferred← citeshttps://doi.org/10.1007/s00779-019-01325-xopenalex-snapshot
Tourism culture and demand forecasting based on BP neural network mining algorithms
inferred← citeshttps://doi.org/10.1007/s00779-023-01714-3openalex-snapshot
A design concept of big data analytics model for managers in hospitality industries
inferred← citeshttps://doi.org/10.1007/s12559-020-09747-zopenalex-snapshot
Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory
inferred← citeshttps://doi.org/10.1007/s13042-025-02915-3openalex-snapshot
Group penalized Poisson regressions forecast daily tourism demand
inferred← citeshttps://doi.org/10.1007/s13369-021-06526-2openalex-snapshot
Forecasting COVID-19: Vector Autoregression-Based Model
inferred← citeshttps://doi.org/10.1007/s40558-022-00238-5openalex-snapshot
Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing
inferred← citeshttps://doi.org/10.1016/j.annale.2024.100163openalex-snapshot
Pandemic borders and expenditure impact: Intervention and forecasting insights from Australia
inferred← citeshttps://doi.org/10.1016/j.annals.2018.11.006openalex-snapshot
Forecasting tourism demand with denoised neural networks
inferred← citeshttps://doi.org/10.1016/j.annals.2018.12.001openalex-snapshot
A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
inferred← citeshttps://doi.org/10.1016/j.annals.2020.102899openalex-snapshot
Group pooling for deep tourism demand forecasting
inferred← citeshttps://doi.org/10.1016/j.annals.2020.102943openalex-snapshot
Forecasting tourist arrivals using denoising and potential factors
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106320openalex-snapshot
Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.108253openalex-snapshot
Plausible response of urban encroachment on ecological land to tourism growth and implications for sustainable management, a case study of Zhangjiajie, China
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121388openalex-snapshot
Forecasting tourism demand with a novel robust decomposition and ensemble framework
inferred← citeshttps://doi.org/10.1016/j.ijforecast.2020.11.006openalex-snapshot
Big data from dynamic pricing: A smart approach to tourism demand forecasting
inferred← citeshttps://doi.org/10.1016/j.indmarman.2026.01.004openalex-snapshot
Employing big data capability in the face of fierce competition: Exploring the synergy between market orientation, marketing strategies, and innovation capabilities
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.10.012openalex-snapshot
Online public opinion prediction based on rolling fractional grey model with new information priority
inferred← citeshttps://doi.org/10.1016/j.jbvi.2024.e00477openalex-snapshot
Campgrounds and climate change: An extreme weather event study for nature-based entrepreneurship
inferred← citeshttps://doi.org/10.1016/j.jclepro.2025.145128openalex-snapshot
Research on accumulative time-delay effects between economic development and air pollution based on a novel grey relational analysis model
inferred← citeshttps://doi.org/10.1016/j.jdec.2022.08.006openalex-snapshot
Using social media big data for tourist demand forecasting: A new machine learning analytical approach
inferred← citeshttps://doi.org/10.1016/j.jik.2025.100858openalex-snapshot
Innovative knowledge-based system for forecasting daily hotel operations amid external events using multi-source data: A time-varying parameter state-space model
inferred← citeshttps://doi.org/10.1016/j.jort.2023.100701openalex-snapshot
Forecasting daily foot traffic in recreational trails using machine learning
inferred← citeshttps://doi.org/10.1016/j.mex.2024.102723openalex-snapshot
Forecasting of Indian tourism industry using modeling approach
inferred← citeshttps://doi.org/10.1016/j.obmed.2025.100627openalex-snapshot
Future projections of elderly obesity in the United States using time series models
inferred← citeshttps://doi.org/10.1016/j.omega.2024.103048openalex-snapshot
Multi-day tourism recommendations for urban tourists considering hotel selection: A heuristic optimization approach
inferred← citeshttps://doi.org/10.1016/j.techfore.2022.121585openalex-snapshot
Estimation of staff use efficiency: Evidence from the hospitality industry
inferred← citeshttps://doi.org/10.1016/j.techfore.2023.122402openalex-snapshot
Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms
inferred← citeshttps://doi.org/10.1016/j.techfore.2023.122488openalex-snapshot
The relationship between destination image and destination safety during technological and social changes COVID-19 pandemic
inferred← citeshttps://doi.org/10.1016/j.techfore.2023.122509openalex-snapshot
The potential of Wi-Fi data to estimate bus passenger mobility
inferred← citeshttps://doi.org/10.1016/j.techfore.2024.123875openalex-snapshot
Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles
inferred← citeshttps://doi.org/10.1016/j.tourman.2020.104245openalex-snapshot
Review of tourism forecasting research with internet data
inferred← citeshttps://doi.org/10.1016/j.tourman.2024.105004openalex-snapshot
Tourism forecasting by mixed-frequency machine learning
inferred← citeshttps://doi.org/10.1016/j.tourman.2024.105119openalex-snapshot
How well can ChatGPT forecast tourism demand?
inferred← citeshttps://doi.org/10.1038/s41598-025-15286-0openalex-snapshot
Time series transformer for tourism demand forecasting
inferred← citeshttps://doi.org/10.1049/itr2.12463openalex-snapshot
Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China
inferred← citeshttps://doi.org/10.1080/00167223.2019.1601575openalex-snapshot
Exploring spatiotemporal heterogeneity in online travel searches: a local spatial model approach
inferred← citeshttps://doi.org/10.1080/13683500.2023.2216882openalex-snapshot
Tourism demand forecasting based on user-generated images on OTA platforms
inferred← citeshttps://doi.org/10.1080/13683500.2025.2554872openalex-snapshot
Improved multi-step prediction of daily tourism demand: an innovative hybrid machine learning framework with search engine data
inferred← citeshttps://doi.org/10.1080/14765284.2022.2161175openalex-snapshot
Predicting Chinese consumption series with Baidu
inferred← citeshttps://doi.org/10.1080/19368623.2021.1937434openalex-snapshot
A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism
inferred← citeshttps://doi.org/10.1080/23322039.2019.1699884openalex-snapshot
Forecasting international tourist arrivals in formulating tourism strategies and planning: The case of Sri Lanka
inferred← citeshttps://doi.org/10.1108/ejmbe-09-2023-0295openalex-snapshot
Twitter's capacity to forecast tourism demand: the case of way of Saint James
inferred← citeshttps://doi.org/10.1108/ijoa-12-2018-1602openalex-snapshot
Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based evaluation
inferred← citeshttps://doi.org/10.1108/jtf-10-2024-0221openalex-snapshot
Smart tourism in the age of IoT: a futures study of Fars Province, Iran
inferred← citeshttps://doi.org/10.1108/nbri-10-2023-0097openalex-snapshot
Forecasting tourism demand with helpful online reviews
inferred← citeshttps://doi.org/10.1108/sbm-05-2025-0131openalex-snapshot
Smart tourism in sports: leveraging predictive analytics for strategic decision-making
inferred← citeshttps://doi.org/10.1108/tr-03-2025-0293openalex-snapshot
Web3-enabled technologies in tourism businesses: a multi-method study of user trust, loyalty, and tangible economic outcomes
inferred← citeshttps://doi.org/10.1108/tr-06-2019-0259openalex-snapshot
Big Data and Analytics in Tourism and Hospitality: A Perspective Article
inferred← citeshttps://doi.org/10.1109/access.2019.2930410openalex-snapshot
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
inferred← citeshttps://doi.org/10.1109/access.2023.3336702openalex-snapshot
Graph-Guided Neural Network for Tourism Demand Forecasting
inferred← citeshttps://doi.org/10.1109/codit49905.2020.9263945openalex-snapshot
Tourist Behaviour Analysis Based on Digital Pattern of Life
inferred← citeshttps://doi.org/10.1109/icbda49040.2020.9101310openalex-snapshot
The Online Attention of Class 5A Scenic Spots in Jiangsu Province, China: A Big Data Analysis of Based on Baidu Index
inferred← citeshttps://doi.org/10.1109/icesc54411.2022.9885355openalex-snapshot
Predictive Analytics of Crime Data using Supervised and Ensemble Learning Methods
inferred← citeshttps://doi.org/10.1109/icgciot.2018.8753103openalex-snapshot
Predictive Analysis for Modeling Travel Decision Making
inferred← citeshttps://doi.org/10.1109/iciss48059.2019.8969795openalex-snapshot
Data Analytics For Forecasting Arrival of Tourism Visit in Indonesia
inferred← citeshttps://doi.org/10.1109/icpcsn58827.2023.00132openalex-snapshot
Effective Visualization and Trend Forecasting of Crime Data Through Big Data Analytics and Mining
inferred← citeshttps://doi.org/10.1109/icssit53264.2022.9716399openalex-snapshot
A Hybrid Approach to Classifying Crime Big Data
inferred← citeshttps://doi.org/10.1109/ssci50451.2021.9659950openalex-snapshot
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
inferred← citeshttps://doi.org/10.1109/tem.2021.3076603openalex-snapshot
Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics
inferred← citeshttps://doi.org/10.1111/1467-8551.12441openalex-snapshot
COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions
inferred← citeshttps://doi.org/10.1111/radm.70004openalex-snapshot
Big Data and Innovation: The State of the Art and Future Research Directions
inferred← citeshttps://doi.org/10.1111/tgis.12908openalex-snapshot
Understanding the correlation between destination distribution and urban built environment from taxi GPS data
inferred← citeshttps://doi.org/10.1117/12.2661969openalex-snapshot
Real-time value of tourist big data: a case study of Red River Canyon rafting scenic spot
inferred← citeshttps://doi.org/10.1142/s021962202250016xopenalex-snapshot
Machine Learning to Predict Recommendation by Tourists in a Spanish Province
inferred← citeshttps://doi.org/10.1145/3718491.3718641openalex-snapshot
Forecast the recovery trend of inbound tourists based on the ARIMA-LSTM model
inferred← citeshttps://doi.org/10.1145/3759928.3759971openalex-snapshot
Enhancing Business Intelligence through Digital Technologies: A Deep Learning Approach for Optimizing Supply Chain Risk Management in Ghana
inferred← citeshttps://doi.org/10.1145/3764727.3764770openalex-snapshot
Enhancing Business Intelligence in Ghana through Digital Technologies: Optimizing Management Information Sharing with Cloud Computing, Big Data, and AI
inferred← citeshttps://doi.org/10.11648/j.ijdsa.20210703.11openalex-snapshot
Crime Data Analysis, Visualization and Prediction Using LSTM
inferred← citeshttps://doi.org/10.1177/0047287520921244openalex-snapshot
Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach
inferred← citeshttps://doi.org/10.1177/00472875211040569openalex-snapshot
Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method
inferred← citeshttps://doi.org/10.1177/10963480221142873openalex-snapshot
Tourism Demand Interval Forecasting Amid COVID-19: A Hybrid Model With a Modified Multi-Objective Optimization Algorithm
inferred← citeshttps://doi.org/10.1177/1354816618793765openalex-snapshot
Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria
inferred← citeshttps://doi.org/10.1177/13548166241248866openalex-snapshot
Developing and testing the efficacy of a novel forecasting methodology: Theory and evidence from China
inferred← citeshttps://doi.org/10.1609/icwsm.v18i1.31380openalex-snapshot
The Manifestation of Affective Polarization on Social Media: A Cross-Platform Supervised Machine Learning Approach
inferred← citeshttps://doi.org/10.18178/ijmlc.2022.12.5.1096openalex-snapshot
Forecasting International Tourism Demand Using the Recurrent Neural Network Model with Genetic Algorithms and ARIMAX Model in Tourism Supply Chains
inferred← citeshttps://doi.org/10.20420/1680.2022.536openalex-snapshot
IX Foro Internacional de Turismo Maspalomas Costa Canaria (FITMCC): La recuperación del sector turístico
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2341360/v1openalex-snapshot
IoT implementation in smart tourism: a future study Approach
inferred← citeshttps://doi.org/10.22214/ijraset.2021.32800openalex-snapshot
Crime Data Analysis, Visualization and Prediction
inferred← citeshttps://doi.org/10.2307/jj.43599856.4openalex-snapshot
The role of AI-powered digital marketing analytics in the tourism industry
inferred← citeshttps://doi.org/10.2352/ei.2024.36.1.vda-364openalex-snapshot
Data Analysis and Visualization of Crime Data
inferred← citeshttps://doi.org/10.2478/amns-2025-0586openalex-snapshot
Application and Accuracy Improvement of Big Data Analytics in Market Demand Forecasting in Tourism Economy
inferred← citeshttps://doi.org/10.2495/st220091openalex-snapshot
ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS IN SMART TOURISM: A RESOURCE-BASED VIEW APPROACH
inferred← citeshttps://doi.org/10.25124/jmi.v23i2.5481openalex-snapshot
Big Data Utilization on Tourism Marketing in Post-Pandemic Recovery Ear: Future Prospect for Indonesia
inferred← citeshttps://doi.org/10.25145/j.pasos.2025.23.047openalex-snapshot
Pronóstico postpandemia del turismo receptivo vía aérea mediante la utilización de modelos bayesianos. El caso de Colombia
inferred← citeshttps://doi.org/10.3390/computers13100272openalex-snapshot
A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic
inferred← citeshttps://doi.org/10.3390/fi12100165openalex-snapshot
Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study
inferred← citeshttps://doi.org/10.3390/forecast6040045openalex-snapshot
Does Google Analytics Improve the Prediction of Tourism Demand Recovery?
inferred← citeshttps://doi.org/10.3390/s22186921openalex-snapshot
FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features
inferred← citeshttps://doi.org/10.3390/su13179659openalex-snapshot
Sustainable Determinants That Affect Tourist Arrival Forecasting
inferred← citeshttps://doi.org/10.3390/su15108133openalex-snapshot
Bridging Disciplinary Divides through Computational Social Sciences and Transdisciplinarity in Tourism Education in Higher Educational Institutions: An Austrian Case Study
inferred← citeshttps://doi.org/10.3390/su151411423openalex-snapshot
Investigating the Spatial-Temporal Variation of Pre-Trip Searching in an Urban Agglomeration
inferred← citeshttps://doi.org/10.34219/2078-8320-2020-11-5-78-83openalex-snapshot
Digital pattern of life based tourist behaviour analysis system
inferred← citeshttps://doi.org/10.35377/saucis...1825738openalex-snapshot
Big Data–Driven Cost-Per-Click Prediction for Hotels
inferred← citeshttps://doi.org/10.37394/232018.2021.9.10openalex-snapshot
Forecasting of Visitors Arrived in Taiwan for Tourism Supply Chain Demand using Big Data
inferred← citeshttps://doi.org/10.4018/978-1-7998-8528-3.ch007openalex-snapshot
Understanding Big Data and Techniques in Cultural Tourism
inferred← citeshttps://doi.org/10.4018/979-8-3693-2193-5.ch023openalex-snapshot
Tourist Behaviour Analysis Using Data Analytics
inferred← citeshttps://doi.org/10.4108/eai.27-1-2021.168503openalex-snapshot
Knowledge Extraction Using Auto Regression Method - A Tourist Information Extraction and Analytics
inferred← citeshttps://doi.org/10.4108/eai.7-9-2021.2314943openalex-snapshot
Crime Prediction Using Big Data Analysis
inferred← citeshttps://doi.org/10.48084/etasr.9768openalex-snapshot
Unraveling the Impact of Climate Change on Food Security in Malaysia: Insights from Vector Error Correction Modeling
inferred← citeshttps://doi.org/10.48550/arxiv.2107.10977openalex-snapshot
Tsformer: Time series Transformer for tourism demand forecasting
inferred← citeshttps://doi.org/10.52255/smarttourism.2024.4.2.3openalex-snapshot
Evaluating the Smartness of Tourism Destinations? Evidence from Iran's Urban Tourism Destinations
inferred← citeshttps://doi.org/10.58837/chula.the.2019.288openalex-snapshot
Analyzing and Forecasting Online Tour Bookings using Google Analytics Metrics
inferred← citeshttps://doi.org/10.70675/be69cdc1z6e9bz4108za123z1e3e31efd9d0openalex-snapshot
Contributions and Opportunities of Wi-Fi Data to Improve Transport Demand Knowledge / Utilisation de données Wi-Fi, quels apports pour la connaissance de la demande de transport?
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.