Reference health
A segmented machine learning modeling approach of social media for predicting occupancy
32/32 checkable references clean · checked 2026-07-25
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
40 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 32 checked references that resolve
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Forecasting hotel demand uncertainty using time series Bayesian VAR models
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Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model
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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
resolves10.1016/j.ijforecast.2010.10.004
Booking horizon forecasting with dynamic updating: A case study of hotel reservation data
resolves10.1016/j.eswa.2010.06.066
A novel intrusion detection system based on hierarchical clustering and support vector machines
resolves10.3727/108354216X14559233984773
Forecasting Tourism Demand with Google Trends For a Major European City Destination
resolves10.1080/10548408.2016.1170651
Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data
resolves10.1016/j.ijhm.2016.07.003
An introduction to helpful forecasting methods for hotel revenue management
resolves10.1016/j.ijforecast.2015.08.005
Forecasting sales of new and existing products using consumer reviews: A random projections approach
resolves10.1016/j.tourman.2015.07.005
Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China
resolves10.1080/10548408.2015.1063826
Analyzing the Use of an Advance Booking Curve in Forecasting Hotel Reservations
resolves10.1177/0047287513500391
Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data
The 40 references without a DOI — listed, not checked
no DOI — not checkedA social identity approach to identify familiar strangers in a social network
no DOI — not checkedGoogle econometrics and unemployment forecasting
no DOI — not checkedSeasonal unit roots in aggregate US data
no DOI — not checkedGoogle searches and twitter mood: nowcasting telecom sales performance
no DOI — not checkedXgboost: a scalable tree boosting system
no DOI — not checkedHow to train good word embeddings for biomedical NLP
no DOI — not checkedPredicting initial claims for unemployment benefits
no DOI — not checkedThe study of international tourism demand: a review of findings
no DOI — not checkedDistribution of the estimators for autoregressive time series with a unit root
no DOI — not checkedComparing predictive accuracy
no DOI — not checkedA dictionary-based approach to identifying aspects implied by adjectives for opinion mining
no DOI — not checkedPrediction accuracy for reservation-based forecasting methods applied in revenue management
no DOI — not checkedThe Elements of Statistical Learning
no DOI — not checkedThe theory behind overfitting, cross validation, regularization, bagging and boosting: Tutorial arXiv preprint arXiv:1905.12787
no DOI — not checkedEfficient hierarchical clustering of large high dimensional datasets
no DOI — not checkedPrices of short-stay accommodation: time series of a eurozone country
no DOI — not checkedThe Elements of Statistical Learning: data Mining, Inference, and Prediction
no DOI — not checkedSocial spammer detection in microblogging
no DOI — not checkedSeasonal integration and cointegration
no DOI — not checkedHyndman, R.J. and Athanasopoulos, G. (2018), “Forecasting: principles and practice, OTexts”, available at: https://otext.org/fpp3/
no DOI — not checkedTen-Year Survival Prediction for Breast Cancer Patients
no DOI — not checkedSentiment analysis and subjectivity
no DOI — not checkedSentiment Analysis: Mining Opinions, Sentiments, and Emotions
no DOI — not checkedIntroduction to Time Series Analysis and Forecasting
no DOI — not checkedAfinn
no DOI — not checkedOmar, K. (2018), “XGBoost and LGBM for Porto Seguro’s kaggle challenge: a comparison semester project”, Distributed Computing Group Computer Engineering and Networks Laboratory ETH Zurich.URL: pdf (accessed 0, Vol. 6, available at: https://pub.tik.ee.ethz.ch/students/2017-HS/SA-2017-98.pdf (accessed 6 July 2020).
no DOI — not checkedForecasting hotel room demand using search engine data
no DOI — not checkedA sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
no DOI — not checkedTackling overfitting in boosting for noisy healthcare data
no DOI — not checkedPricing and Revenue Optimization
no DOI — not checkedModeling movements in oil, gold, forex and market indices using search volume index and twitter sentiments
no DOI — not checkedHow boosting the margin can also boost classifier complexity
no DOI — not checkedHotel daily occupancy forecasting with competitive sets: a recursive algorithm
no DOI — not checkedTourism forecasting using econometric models
no DOI — not checkedFrom words to senses: a case study of subjectivity recognition, from words to senses: a case study of subjectivity recognition
no DOI — not checkedThumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
no DOI — not checkedJulia for Data Science
no DOI — not checkedRevenue management forecasting: the resiliency of advanced booking methods given dynamic booking windows
no DOI — not checkedModeling and Forecasting Demand in Tourism
no DOI — not checkedAn integrated forecasting approach to hotel demand
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