Recent progress and trends in predictive visual analytics
A wide variety of predictive analytics techniques have been developed in statistics, machine
learning and data mining; however, many of these algorithms take a black-box approach in …
learning and data mining; however, many of these algorithms take a black-box approach in …
The state‐of‐the‐art in predictive visual analytics
Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …
modeling, machine learning, and data mining and is applied in business intelligence, public …
RegressionExplorer: Interactive exploration of logistic regression models with subgroup analysis
D Dingen, M van't Veer, P Houthuizen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We present RegressionExplorer, a Visual Analytics tool for the interactive exploration of
logistic regression models. Our application domain is Clinical Biostatistics, where models …
logistic regression models. Our application domain is Clinical Biostatistics, where models …
WeSeer: Visual analysis for better information cascade prediction of WeChat articles
Social media, such as Facebook and WeChat, empowers millions of users to create,
consume, and disseminate online information on an unprecedented scale. The abundant …
consume, and disseminate online information on an unprecedented scale. The abundant …
Predictive visual analytics of event evolution for user-created context
Digital big data provide the vast potential of increasing effectiveness and efficiency for
decision making. Since the volume of the data is enormous, the data analysis requires large …
decision making. Since the volume of the data is enormous, the data analysis requires large …
Predictive visual analytics using topic composition
Digital big data provide the vast potential of increasing effectiveness and efficiency for
decision making. Since the volume of the data is enormous, the data analysis requires large …
decision making. Since the volume of the data is enormous, the data analysis requires large …
Evaluating Forecasting, Knowledge, and Visual Analytics
In this paper, we explore the intersection of knowledge and the forecasting accuracy of
humans when supported by visual analytics. We have recruited 40 experts in machine …
humans when supported by visual analytics. We have recruited 40 experts in machine …
Visual performance improvement analytics of predictive model for unbalanced panel data
An unbalanced panel is a dataset in which at least one subject is not observed some times.
Moreover, each subject is recorded with irregular periods and intervals. Therefore, only short …
Moreover, each subject is recorded with irregular periods and intervals. Therefore, only short …
Visual Pattern Analytics for Event Sequences
W Jentner - 2023 - kops.uni-konstanz.de
Pattern mining plays an essential role in unsupervised machine learning as it allows the
clustering of structured data without requiring distance measures and purely relying on the …
clustering of structured data without requiring distance measures and purely relying on the …
청소년신체성장예측모델의성능향상을위한시각적분석방법
연한별， 피민규， 서성범， 하서호， 오병준… - 컴퓨터그래픽스학회 …, 2017 - dbpia.co.kr
예측 시각적 분석 연구는 다양한 대화식 데이터 탐색 기법을 사용하여 예측 결과의 불확실성을
줄이는데 중점을 두었다. 대화식 탐색 기법의 목적은 변수간의 관계를 이해하고 알려지지 않은 …
줄이는데 중점을 두었다. 대화식 탐색 기법의 목적은 변수간의 관계를 이해하고 알려지지 않은 …