Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels
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 …
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 …
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
The continuously growing amount of available data has accelerated the emergence of
numerous business intelligence applications that are summarized under the term Big Data …
numerous business intelligence applications that are summarized under the term Big Data …
Clustering Indian stock market data for portfolio management
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 …
After classification, the stocks could be selected from these groups for building a portfolio. It …
Explainable unsupervised machine learning for cyber-physical systems
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 …
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
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 …
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
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 …
student learning logs, demographic data, and end-of-course evaluation surveys in an online …
Deep self-organizing maps for unsupervised image classification
The deep self-organizing map (DSOM) was introduced to embed hierarchical feature
abstraction capability to self-organizing maps (SOMs). This paper presents an extended …
abstraction capability to self-organizing maps (SOMs). This paper presents an extended …
BIM log mining: Exploring design productivity characteristics
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 …
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 …
in systemic lupus erythematosus (SLE). Herein, we aimed to define autoantibody clusters …