A survey of visual analytics techniques for machine learning
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …
in the field of visualization. To better identify which research topics are promising and to …
Deep time-series clustering: A review
We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
Survey on visual analysis of event sequence data
Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …
are commonly observed in a variety of applications ranging from electronic health records to …
Interpretable and steerable sequence learning via prototypes
One of the major challenges in machine learning nowadays is to provide predictions with not
only high accuracy but also user-friendly explanations. Although in recent years we have …
only high accuracy but also user-friendly explanations. Although in recent years we have …
A survey of visualization for smart manufacturing
In smart manufacturing, people are facing an increasing amount of industrial data derived
from various digitalized and connected sources in all kinds of formats. Analyzing and …
from various digitalized and connected sources in all kinds of formats. Analyzing and …
Recent research advances on interactive machine learning
Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …
human with a machine learner, which is widely used by researchers and practitioners to …
A survey of approaches for event sequence analysis and visualization
A Yeshchenko, J Mendling - Information Systems, 2024 - Elsevier
Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …
information systems that record transactions, events, state changes, message exchanges …
Clustering and classification for time series data in visual analytics: A survey
Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …
Different approaches have been developed to understand the characteristics of the data and …
TacticFlow: Visual analytics of ever-changing tactics in racket sports
Event sequence mining is often used to summarize patterns from hundreds of sequences
but faces special challenges when handling racket sports data. In racket sports (eg, tennis …
but faces special challenges when handling racket sports data. In racket sports (eg, tennis …
Visual drift detection for event sequence data of business processes
Event sequence data is increasingly available in various application domains, such as
business process management, software engineering, or medical pathways. Processes in …
business process management, software engineering, or medical pathways. Processes in …