Alexander Rind

Alexander Rind
Fachhochschule Sankt Pölten | FH St. Pölten · Institute for Creative Media Technologies

Dipl.-Ing. Mag.

About

64
Publications
11,938
Reads
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971
Citations
Introduction
My publications in ResearchGate might lag a bit behind. Please refer to my website http://alex.timebench.org/publications.html which also provides preprints.
Additional affiliations
January 2014 - present
Fachhochschule Sankt Pölten
Position
  • Researcher
April 2011 - December 2013
TU Wien
Position
  • Researcher
March 2008 - March 2011
Danube University Krems
Position
  • Researcher

Publications

Publications (64)
Preprint
Full-text available
Three-dimensional clinical gait analysis is essential for selecting optimal treatment interventions for patients with cerebral palsy (CP), but generates a large amount of time series data. For the automated analysis of these data, machine learning approaches yield promising results. However, due to their black-box nature, such approaches are often...
Conference Paper
Full-text available
Both sonification and visualization convey information about data by effectively using our human perceptual system, but their ways to transform the data could not be more different. The sonification community has demanded a holistic perspective on data representation, including audio-visual analysis, several times during the past 30 years. A design...
Preprint
Clinicians and other analysts working with healthcare data are in need for better support to cope with large and complex data. While an increasing number of visual analytics environments integrates explicit domain knowledge as a means to deliver a precise representation of the available data, theoretical work so far has focused on the role of knowl...
Preprint
Visualizing time series in a dense spatial context such as a geographical map is a challenging task, which requires careful balance between the amount of depicted data and perceptual precision. Horizon graphs are a well-known technique for compactly representing time series data. They provide fine details while simultaneously giving an overview of...
Article
Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four‐year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story‐finding. The vi...
Presentation
Full-text available
This is the presentation from IEEEVIS 2018 according to the TCVG paper with the title: "KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis".
Article
In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human locomotion enables clinicians to describe and analyze a patient's gait performance in detail and allows them to base clinical decisions on objective data. These ass...
Article
To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and types of techniques they use, we attempt to define the expected results of these activities. We argue that the main goal of doing visual analytics is to build a mental and/or formal model of a ce...
Conference Paper
Visual analytics intertwines interactive visual interfaces with automated data analysis methods in order to support humans in data analysis. How visual analytics can leverage explicit knowledge from domain experts was investigated in the basic research project KAVA-Time. Within its scope, a theoretical model for integrating the users' knowledge int...
Chapter
This chapter starts by providing some background in behavior-based malware analysis. Subsequently, it introduces VA and its main components based on the knowledge generation model for VA (Sacha et al., 2014). Then, it demonstrates the applicability of VA in in this subfield of software security with three projects that illustrate practical experien...
Conference Paper
Full-text available
Biographical lexica are a rich data source for the Digital Humanities. For example, the connections between places can be studied based on the migrations of scholars. The work at hand resulted from the OpenGLAM.at Cultural Data Hackathon 2017 and describes the analysis of 151 biographies from the Austrian Biographical Dictionary 1815–1950. Communit...
Presentation
Full-text available
Community detection and network analysis - Detecting historical community networks using a dataset from the ”Austrian Biographical Dictionary 1815–1950”
Article
The cycle plot is an established and effective visualization technique for identifying and comprehending patterns in periodic time series, like trends and seasonal cycles. It also allows to visually identify and contextualize extreme values and outliers from a different perspective. Unfortunately, it is limited to univariate data. For multivariate...
Conference Paper
Full-text available
Publications play a central role in presenting the outcome of scientific research but are typically presented as textual lists, whereas related work in visualization of publication focuses on exploration – not presentation. To bridge this gap, we conducted a design study of an interactive visual representation of publication data in a BibTeX file....
Chapter
Visual Analytics is a field of computer science that deals with methods to perform data analysis using both computer-based methods and human judgment facilitated by direct interaction with visual representations of data. Electronic health record systems that apply Visual Analytics methods have the potential to provide healthcare stakeholders with m...
Article
Full-text available
IT-security experts engage in behavior-based malware analysis in order to learn about previously unknown samples of malicious software (malware) or malware families. For this, they need to find and categorize suspicious patterns from large collections of execution traces. Currently available systems do not meet the analysts’ needs which are describ...
Conference Paper
Full-text available
Modern data visualizations are developed as interactive and intuitive graphic applications. In the development process, programmers basically pursue the same goal: creating an application with a great performance. Such applications have to display information at its best way in every possible situation. In this paper, we present a performance compa...
Conference Paper
Full-text available
Politically concerned citizens and data journalists want to investigate money flows from government to media, which are documented as open government data on 'media trans-parency'. This dataset can be characterized as a dynamic bipartite network with quantitative flows and a large number of vertices. Currently , there is no adequate visualization a...
Conference Paper
With their increasingly widespread use, mobile devices have become a highly relevant target environment for Information Visualization. However, far too little attention has been paid to evaluation of interactive visualization techniques on mobile devices. To fill this gap, this paper provides a structured overview of the commonly used evaluation ap...
Article
User tasks play a pivotal role in visualization design and evaluation. However, the term ‘task’ is used ambiguously within the visualization community. In this article, we critically analyze the relevant literature and systematically compare definitions of ‘task’ and the usage of related terminology. In doing so, we identify a three-dimensional con...
Conference Paper
Today many different devices and operating systems can be used for InfoVis systems. On the one hand, web-based visualizations can be used to be compatible with several systems, but the performance depends on optimized browser engines. On the other hand, it is possible to build a native system which supports all the benefits for just one device. How...
Conference Paper
Full-text available
Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important which includes the need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. Currently available tools in behavior-based malware analysis do not meet all experts’ needs, su...
Conference Paper
Today, journalists increasingly deal with complex, large, and heterogeneous datasets and, thus, face challenges in integration, wrangling, analysis, and reporting these data. Besides, the lack of money, time, and skills influence their journalistic work. Information visualization and visual analytics offer possibilities to support data journalists....
Conference Paper
Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware...
Conference Paper
Full-text available
Due to the increasing number of malware, monitoring of vulnerable systems is becoming increasingly more important. This applies to networks, individual computers, as well as mobile devices. For this purpose, there are various approaches and techniques to detect or to capture malicious software. To support the analysts, visualizing the data and usin...
Conference Paper
Data journalists have to deal with complex heterogeneous data sources such as dynamic, directed, and weighted graphs. But there is a lack of suitable visualization tools for this specific domain and data structure. The aim of this paper is to give an overview of existing publications and web projects in this area by classifying the works in a syste...
Conference Paper
Full-text available
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 and residual plots. These sources may show only small variations and, therefore, it is necessary to consider the prediction capa...
Conference Paper
User tasks play a pivotal role in evaluation throughout visualization design and development. However, the term ‘task’ is used ambiguously within the visualization community. In this position paper, we critically analyze the relevant literature and systematically compare definitions for ‘task’ and the usage of related terminology. In doing so, we i...
Conference Paper
Behavior-based analysis of emerging malware families involves finding suspicious patterns in large collections of execution traces. This activity cannot be automated for previously unknown malware families and thus malware analysts would benefit greatly from integrating visual analytics methods in their process. However existing approaches are limi...
Conference Paper
Full-text available
In several application fields, the joint visualization of quantitative data and qualitative abstractions can help analysts make sense of complex time series data by associating precise numeric values with corresponding domain-specific interpretations, such as good, bad, high, low, normal. At the same time, the need to analyse large multivariate tim...
Article
Temporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. State-of-the-art methods are capable of preserving the temporal order of events as well as the temporal intervals in between. The temporal characteristics of the events themselves, however, can likely lead to numerous uninteresting patterns found...
Conference Paper
Full-text available
Fig. 1. The graphical user interface of TiMoVA-Predict: (a) time series display showing the one-step-ahead predictions (red) next to the actual values (blue/gray), (b) toolbox for model selection and prediction, (c) autocorrelation and partial autocorrelation plots for selecting the model orders, (d) diagnostic plots for the residual analysis, (e)...
Article
Model selection in time series analysis is a challenging task for domain experts in many application areas such as epidemiology, economy, or environmental sciences. The methodology used for this task demands a close combination of human judgement and automated computation. However, statistical software tools do not adequately support this combinati...
Article
Time-oriented data play an essential role in many Visual Analytics scenarios such as extracting medical insights from collections of electronic health records or identifying emerging problems and vulnerabilities in network traffic. However, many software libraries for Visual Analytics treat time as a flat numerical data type and insufficiently tack...
Conference Paper
Temporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. State-of-the-art methods are capable of preserving the temporal order of events as well as the information in between. The temporal nature of the events themselves, however, can likely be misinterpreted by current algorithms. We present a new def...
Article
It is generally acknowledged in visualization research that it is necessary to evaluate visualization artifacts in order to provide empirical evidence on their effectiveness and efficiency as well as their usability and utility. However, the difficulties of conducting such evaluations still remain an issue. Apart from the required know-how to appro...
Chapter
Full-text available
Data Mining on time-oriented data has many real-world applications, like optimizing shift plans for shops or hospitals, or analyzing traffic or climate. As those data are often very large and multi-variate, several methods for symbolic representation of time-series have been proposed. Some of them are statistically robust, have a lower-bound distan...
Article
Physicians are confronted with increasingly complex patient histories based on which they must make life-critical treatment decisions. At the same time, clinical researchers are eager to study the growing databases of patient histories to detect unknown patterns, ensure quality control, and discover surprising outcomes. Designers of Electronic Heal...
Conference Paper
Full-text available
The visual exploration and analysis of time-oriented data in healthcare are important yet challenging tasks. This position paper presents six challenges for Visual Analytics in healthcare: (1) scale and complexity of time-oriented data, (2) intertwining patient condition with treatment processes, (3) scalable analysis from single patients to cohort...
Article
In many application areas, analysts have to make sense of large volumes of multivariate time-series data. Explo- rative analysis of this kind of data is often difficult and overwhelming at the level of raw data. Temporal data abstraction reduces data complexity by deriving qualitative statements that reflect domain-specific key charac- teristics. V...
Article
Full-text available
Modern information visualisation systems do not only support interactivity but also increasingly complex problem solving. In this study we compare two interactive information visualisation systems: VisuExplore and Gravi++. By analysing logfiles we were able to identify sets of activities and interaction patterns users followed while working with th...
Article
Full-text available
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 time (e.g., calendars, primitives, etc.). Several task frameworks have been developed, but none of them combines a complete, sys...
Conference Paper
Full-text available
Medical care, particularly for chronic diseases, accumulates a huge amount of patient data over extensive time periods that needs to be accessed and analyzed accordingly. Information Visualization methods hold great promises in turning data deluge into improved quality of medical care. Yet, patient data management systems mostly provide documents,...
Conference Paper
Full-text available
The effectiveness of animation in visualization is an interesting research topic that led to contradicting results in the past. On top of that, we are facing three additional challenges when exploring patient cohorts: irregular sampling, data wear, and data sets covering different portions of time. We present TimeRider, an improved animated scatter...
Conference Paper
Full-text available
This paper describes the results of an evaluation study of a prototype for the visualization of time-oriented medical data. Subjects were nine physicians. The prototype combines well-known visual representation techniques and extensive interaction techniques. The aim of the study was to assess the system's usability and whether the prototype solved...
Conference Paper
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analysis and visualization to explore trends, patterns, and relationships in different kinds of time-oriented data. The human perceptual system is highly sophisticated and spec...
Conference Paper
Travellers use Virtual Communities such as blogs or forums to share their experiences. This content can give invaluable support in developing and improving tourism products. Since the quantity of online travel reports has exploded in recent years, tourism managers and marketers cannot check all the entries potentially mentioning their product, ente...

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Projects

Projects (3)
Project
Main goal is to install a state-of-the-art motion capturing laboratory at the UAS St. Pölten which will combine our knowledge in rehabilitation, gait analysis, visual analytics, machine learning and mixed reality. Our mission statement: "We want to actively take part in shaping the future in motor rehabilitation"
Archived project
Project
The research project VALID investigates how journalists routinely deal with large volumes of data. Based on interactive visualisations, the consortium develops digital tools designed to help journalists obtain information from large volumes of data from various sources.