Juhee Bae
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View article: Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization
Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization Open
This paper introduces a framework that integrates smart production logistics (SPL) with network diagrams. This integration enhances visibility in the material and information flow within the manufacturing sector, thereby adding value throu…
View article: Factor-augmented forecasting in big data
Factor-augmented forecasting in big data Open
This paper evaluates the predictive performance of various factor estimation methods in big data. Extensive forecasting experiments are examined using seven factor estimation methods with 13 decision rules determining the number of factors…
View article: Interactive Clustering
Interactive Clustering Open
In this survey, 105 papers related to interactive clustering were reviewed according to seven perspectives: (1) on what level is the interaction happening, (2) which interactive operations are involved, (3) how user feedback is incorporate…
View article: Biosensors—Publication Trends and Knowledge Domain Visualization
Biosensors—Publication Trends and Knowledge Domain Visualization Open
The number of scholarly publications on the topic of biosensors has increased rapidly; as a result, it is no longer easy to build an informed overview of the developments solely by manual means. Furthermore, with many new research results …
View article: Eliciting structure in data
Eliciting structure in data Open
This paper demonstrates how to explore and visualize different types of structure in data, including clusters, anomalies, causal relations, and higher order relations. The methods are developed with the goal of being as automatic as possib…
View article: Intelligent User Interfaces : Trends and application areas
Intelligent User Interfaces : Trends and application areas Open
This report outlines trends and application areas within the research field of intelligent user interfaces(IUIs) from 2010-2018. The purpose of the report is to give an overview of the IUI research area andpoint out particular subfields th…
View article: Causal discovery using clusters from observational data
Causal discovery using clusters from observational data Open
Many methods have been proposed over the years for distinguishing causes from effects using observational data only, and new ones are continuously being developed – deducing causal relationships is difficult enough that we do not hope to e…
View article: Evaluating Multi-attributes on Cause and Effect Relationship Visualization
Evaluating Multi-attributes on Cause and Effect Relationship Visualization Open
This paper presents findings about visual representations of cause and effect relationship's direction, strength, and uncertainty based on an online user study. While previous researches focus on accuracy and few attributes, our empirical …