Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels

A Ahani, M Nilashi, E Yadegaridehkordi… - Journal of Retailing and …, 2019 - Elsevier
Travelers can enjoy a wide range of choices with the assistance of online review websites
such as TripAdvisor. Online reviews provided by customers are an important portion of …

A 50-year systemic review of bioavailability application in Soil environmental criteria and risk assessment

HY Chen, YX Tian, YX Cai, QY Liu, J Ma, Y Wei… - Environmental …, 2023 - Elsevier
Bioavailability has become a critical factor in improving ecological risk assessment and
environmental remediation efficiency in contaminated soil research. However, the soil …

The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study

B Roßmann, A Canzaniello, H von der Gracht… - … Forecasting and Social …, 2018 - Elsevier
The continuously growing amount of available data has accelerated the emergence of
numerous business intelligence applications that are summarized under the term Big Data …

Clustering Indian stock market data for portfolio management

SR Nanda, B Mahanty, MK Tiwari - Expert Systems with Applications, 2010 - Elsevier
In this paper a data mining approach for classification of stocks into clusters is presented.
After classification, the stocks could be selected from these groups for building a portfolio. It …

Explainable unsupervised machine learning for cyber-physical systems

CS Wickramasinghe, K Amarasinghe, DL Marino… - IEEE …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems (CPSs) play a critical role in our modern infrastructure due to their
capability to connect computing resources with physical systems. As such, topics such as …

Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making

D Arunachalam, N Kumar - Expert Systems with Applications, 2018 - Elsevier
This study evaluates the performance of different data clustering approaches for searching
the profitable consumer segments in the UK hospitality industry. The paper focuses on three …

Integrating data mining in program evaluation of K-12 online education

JL Hung, YC Hsu, K Rice - Journal of Educational Technology & Society, 2012 - JSTOR
This study investigated an innovative approach of program evaluation through analyses of
student learning logs, demographic data, and end-of-course evaluation surveys in an online …

Deep self-organizing maps for unsupervised image classification

CS Wickramasinghe, K Amarasinghe… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The deep self-organizing map (DSOM) was introduced to embed hierarchical feature
abstraction capability to self-organizing maps (SOMs). This paper presents an extended …

BIM log mining: Exploring design productivity characteristics

Y Pan, L Zhang - Automation in Construction, 2020 - Elsevier
A clustering-based building information modeling (BIM) log mining method is developed in
this research to provide a data-driven knowledge discovery about the design productivity …

Cluster analysis of autoantibodies in 852 patients with systemic lupus erythematosus from a single center

B Artim-Esen, E Çene, Y Şahinkaya, S Ertan… - The Journal of …, 2014 - jrheum.org
Objective. Associations between autoantibodies and clinical features have been described
in systemic lupus erythematosus (SLE). Herein, we aimed to define autoantibody clusters …