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Network Analysis for Financial Fraud Detection
(The Eurographics Association, 2018)
Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial ...
Contingency Wheel: Visual Analysis of Large Contingency Tables
(The Eurographics Association, 2011)
We present the Contingency Wheel, a visual method for finding and analyzing associations in a large nxm contingency table with m less than 100 and n being two to three orders of magnitude larger than m. The method is ...
CV3: Visual Exploration, Assessment, and Comparison of CVs
(The Eurographics Association, 2018)
Curriculum Vitae (CV) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatial, temporal, nominal, and ordinal data. Commonly, ...
Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data
(The Eurographics Association, 2018)
The segmenting and labeling of multivariate time series data is applied in different domains, e.g. activity recognition or sensor states. This involves several steps of (pre-) processing, segmenting, and labeling of time ...
Visually Exploring Data Provenance and Quality of Open Data
(The Eurographics Association, 2018)
While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
Integrating Predictions in Time Series Model Selection
(The Eurographics Association, 2015)
Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space
(The Eurographics Association, 2021)
Multivariate networks are complex data structures, which are ubiquitous in many application domains. Driven by a real-world problem, namely the movement behavior of citizens in Vienna, we designed and implemented a Visual ...
Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time
(The Eurographics Association, 2012)
Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of ...
Guidance or No Guidance? A Decision Tree Can Help
(The Eurographics Association, 2018)
Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
Exploration and Assessment of Event Data
(The Eurographics Association, 2015)
Event data is generated in many domains, like business process management, industry or healthcare. These datasets are often unstructured, exhibit variant behaviour, and may contain errors. Before applying automated analysis ...