Dirk Draheim

Dirk Draheim
Tallinn University of Technology | TTU · Department of Informatics

Prof. Dr.

About

286
Publications
106,142
Reads
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1,709
Citations
Introduction
Hi! I am full professor of information society technology and head of Large-Scale Systems Group of TUT Tallinn University of Technology, see lss.ttu.ee The Tallinn Tech Large-Scale Systems Group conducts research in large- and ultra-large-scale IT systems. We investigate the architecture, design, realization and management of IT system landscapes, high-volume data-intensive systems, high-volume workflow-intensive systems, massively resource-intensive systems and highly distributed systems.
Additional affiliations
September 2010 - present
Universität Mannheim
Position
  • Adjunct Reader
October 2008 - April 2016
University of Innsbruck
Position
  • Head of Department
September 2007 - February 2008
Johannes Kepler University Linz
Position
  • Lecturer

Publications

Publications (286)
Chapter
Our goal is to develop a logic-based component for hybrid – machine learning plus logic – commonsense question answering systems. The paper presents an implementation GK of default logic for handling rules with exceptions in unrestricted first order knowledge bases. GK is built on top of our existing automated reasoning system with confidence calcu...
Article
Full-text available
Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary stage in the computing world. IoT-based applications have already produced a plethora of novel services and are improving the living standard by enabling innovative and smart solutions. However, along with its rapid adoption, IoT technology also creates...
Chapter
Full-text available
The size of data collected around the world is growing exponentially, and it has become popular as big data. The volume and velocity of big data are facilitating the transition of machine learning (ML), deep learning (DL) and artificial intelligence (AI) from research laboratories to real life. There are numerous other claims made about Big Data. C...
Preprint
A phenomenal change in the age pyramid of the European Union countries has been depicted, where a significant increase in the retired age citizens and a decrease in the percentage of working-age citizens is expected. Therefore, the European Union along with the Baltic Sea Region actively participate in research on active ageing and technology-drive...
Preprint
A phenomenal change in the age pyramid of the European Union countries has been depicted, where a significant increase in the retired age citizens and a decrease in the percentage of working-age citizens is expected. Therefore, the European Union along with the Baltic Sea Region actively participate in research on active ageing and technology-drive...
Preprint
With the increasing population of the silver economy, many potential economic opportunities appear, in particular, in developed countries. Recently, the European Union and the Baltic Sea Region have been very active with their research on active aging and to tackle the challenges arising from the exponentially increasing ageing population. The OSIR...
Preprint
With the increasing population of the silver economy, many potential economic opportunities appear, in particular, in developed countries. Recently, the European Union and the Baltic Sea Region have been very active with their research on active aging and to tackle the challenges arising from the exponentially increasing ageing population. The OSIR...
Preprint
We present a general theory of payment systems that is capable of describing both traditional and electronic forms of payment. Starting from the three basic functions of money and general non-functional requirements, we derive the necessary and sufficient properties of technical implementations of money and payments. We describe possible scalable i...
Preprint
Full-text available
Psychiatric disorders represent critical non-communicable diseases of the 21st century and are ranked as the leading cause of years lived with disabilities. Nevertheless, data that could be used to improve our understanding of psychiatric diseases is still underutilized. In this research, we are applying clustered association rule mining to find co...
Preprint
p>Since its introduction with Bitcoin in 2009, blockchain technology has received tremendous attention by academia, industry, politics and media alike, in particular, through extended blockchain-based visions such as smart contracts, decentralized finance, and, most recently, Web3. The critical prerequisite for any such blockchain-based vision to b...
Preprint
p>Since its introduction with Bitcoin in 2009, blockchain technology has received tremendous attention by academia, industry, politics and media alike, in particular, through extended blockchain-based visions such as smart contracts, decentralized finance, and, most recently, Web3. The critical prerequisite for any such blockchain-based vision to b...
Article
Every year, healthcare specialists collect more and more data about patients but struggle to use it to optimize disease prevention, diagnosis, or treatment processes. While a manual use of this medical data is virtually impossible considering the vast growth rate, automation with artificial intelligence (AI) and digital decision support systems (DD...
Chapter
The need for standardized and visualized performance monitoring on a wide range of topics has become apparent in recent years. In the public sector, there has been an increase in the number of dashboards to create transparency into the progress. Yet, the design of dashboards encounters many challenges ranging from technical to social. The goal of t...
Chapter
Estonia has created an effective, stable and transparent digital society, where most government services are accessible online. As the first country in the world, Estonia launched in 2014 an e-residency program that can be considered as an extension of its digital society. Estonia provides digital identity card (digiID) for third country nationals...
Chapter
Many countries across the world have adopted the electronic court system to various degrees. Likewise, many others are either in the process of adopting it or contemplate transitioning to the use of e-court. However, developing countries have not had much success with developing e-government services so far, one of which is the e-court system. This...
Article
Full-text available
Smart contracts (SC) run on blockchain technology (BCT) to implement agreements between several parties. As BCT grows, organizations aim to automate their processes and engage in business collaborations using SCs. The translation of contract semantics into SC language semantics is difficult due to ambiguous contractual interpretation by the several...
Conference Paper
In today’s world, artificial intelligence based smart applications and smart medical devices are developed with big data-based trained datasets. However, what if a training dataset used to train a machine learning module is incorrect and has a statistical paradox. Statistical paradoxes are complicated to observe in data but are very important to an...
Article
Full-text available
Statistical reasoning was one of the earliest methods to draw insights from data. However, over the last three decades, association rule mining and online analytical processing have gained massive ground in practice and theory. Logically, both association rule mining and online analytical processing have some common objectives, but they have been i...
Article
Full-text available
Analysis of malignant and non-malignant brain tumors is done using a computer-aided diagnosis system by practitioners worldwide. Radiologists refer computer-assisted techniques to draw conclusions using image modalities and inferences. Pedagogically, various machine learning approaches have been used, which usually focus on the classification of im...
Article
Full-text available
Investigating the contributory factors in crossroad accidents is a high-priority issue in the traffic safety analysis. This study exploits a method based on association rules to analyze these contributory factors. Using data about one year of crossroad traffic accidents in Isfahan, Iran, 63 and 156 association rules are generated for non-serious an...
Article
In this paper, we explain the Alphabill family of technologies that addresses both unlimited scalability and unrestricted adaptivity. We deliver a sharded blockchain technology with unlimited scalability, called KSI Cash, which is based on a new form of electronic money scheme, the bill scheme. We present performance tests of KSI Cash that we have...
Preprint
Many real-world data sets contain a mix of various types of data, i.e., binary, numerical, and categorical; however, many data mining and machine learning (ML) algorithms work merely with discrete values, e.g., association rule mining. Therefore, the discretization process plays an essential role in data mining and ML. In state-of-the-art data mini...
Conference Paper
Full-text available
In today’s world, disasters, both natural and manmade, are becoming increasingly frequent, and new solutions are of a compelling need to provide and disseminate information about these disasters to the public and concerned authorities in an effective and efficient manner. One of the most frequently used ways for information dissemination today is t...
Conference Paper
The large volume of information being produced in organizations today poses new challenges to the accuracy and effectiveness of any organizations’ decision-making processes. These challenges, namely sensemaking and trust, can critically impact the decision-making processes, even if the organizations are relying on business intelligence (BI) strateg...
Presentation
Full-text available
The slides present the paper "Unraveling the Social-technical Complexity of Dashboards for Transformation." It briefly presents the scientific research methods and the results of the paper and outlines the outcomes focusing on the developed generic process of developing a dashboards as well as the defined types of dashboards that exist in the publi...
Chapter
Full-text available
The worldwide Covid-19 widespread in 2020 has turned into a phenomenon that has shaken human life significantly. It is widely recognized that taking faster measurements is crucial for monitoring and preventing the further spread of COVID-19. The advent of distributive computing frameworks provides one efficient solution for the issue. One method us...
Article
Full-text available
Digital disruptions caused by use of technologies like social media arguably present a formidable challenge to democratic values and in-turn to Collective Intelligence (CI or “wisdom-of-crowd”), which the former is an emblem of. These challenges such as misinformation, partisan bias, polarization, and rising mistrust in institutions (incl. mainstre...
Preprint
Our aim is to understand technological and socio-economic barriers to blockchain solutions that are intrinsic in the blockchain technology stack itself (permissionless as well as permissioned). On the basis of that, we want to understand the future potentioal impact of blockchain technology. We provide an argumentation against the theoretical backg...
Preprint
Our aim is to understand technological and socio-economic barriers to blockchain solutions that are intrinsic in the blockchain technology stack itself (permissionless as well as permissioned). On the basis of that, we want to understand the future potentioal impact of blockchain technology. We provide an argumentation against the theoretical backg...
Chapter
The purpose of this research is to provide a detailed description of the 2017 ROCA (Return of the Coppersmith’s Attack) case in Estonia and to explore what implications this large-scale security risk poses on a fully rolled-out state-provided eID scheme. The analysis focuses on three areas, i.e., (i) the state’s political tasks and responsibilities...
Chapter
Digital transformation is crucial for governments to provide better and more efficient services to the citizens. A legal framework is a necessary component of each e-government ecosystem to ensure proper delivery of e-services. This research proposes a legal framework for e-government in the Kurdistan Region of Iraq (KRI). The research started with...
Article
Full-text available
In data mining, the classical association rule mining techniques deal with binary attributes; however, real-world data have a variety of attributes (numerical, categorical, Boolean). To deal with the variety of data attributes, the classical association rule mining technique was extended to numerical association rule mining. Initially, the concept...
Chapter
Digital transformation enables a vast growth of health data. Because of that, scholars and professionals considered AI to enhance quality of care significantly. Machine learning (ML) algorithms for improvement have been studied extensively, but automatic artificial intelligence (autoAI/autoML) has been widely neglected. AutoAI aims to automate the...
Chapter
In all countries, we currently see major efforts in digital transformation initiatives. The United Nations e-Government Survey 2020 puts a strong emphasis on data, which makes sense, given the huge progress in big data and data science in the last decade. The UN survey distinguishes between data-informed, data-driven and data-centric approaches to...
Preprint
We present a general theory of payment systems that is capable of describing both traditional and electronic forms of payment. Starting from the three basic functions of money and general non-functional requirements, we derive the necessary and sufficient properties of technical implementations of money and payments. We describe possible scalable i...
Preprint
We present a general theory of payment systems that is capable of describing both traditional and electronic forms of payment. Starting from the three basic functions of money and general non-functional requirements, we derive the necessary and sufficient properties of technical implementations of money and payments. We describe possible scalable i...
Preprint
We present a general theory of payment systems that is capable of describing both traditional and electronic forms of payment. Starting from the three basic functions of money and general non-functional requirements, we derive the necessary and sufficient properties of technical implementations of money and payments. We describe possible scalable i...
Chapter
Full-text available
Commonsense reasoning has long been considered one of the holy grails of artificial intelligence. Our goal is to develop a logic-based component for hybrid – machine learning plus logic – commonsense question answering systems. A critical feature for the component is estimating the confidence in the statements derived from knowledge bases containin...
Preprint
Full-text available
Currently, healthcare is expert-centric, especially regarding decision-making. Innovations such as artificial intelligence (AI) or interconnected electronic health records (EHRs) suffer from low adoption rates. In the rare cases of technically successful implementation, they often result in inefficient or error-prone processes. This paper explores...
Chapter
The “digital transformation” is perceived as the key enabler for increasing wealth and well-being by politics, media and the citizens alike. In the same vein, digital government steadily receives more and more attention. Digital government gives rise to complex, large-scale state-level system landscapes consisting of many players and technological...
Chapter
Full-text available
As the research domain of digital government continues to develop itself as an important body of scholarly research, and it continues to grow in terms of researchers, publications, research funding, and other related indicators, it is important to understand the core theoretical and philosophical basis of the discipline. However, there is currently...
Article
Full-text available
Billions of IoT devices and smart objects are already in operation today and even more are expected to be on the network over time. These IoT devices will generate enormous amounts of data that cannot be allowed to transmit on the network without end-to-end encryption or any trust and security mechanism. Currently, we have certificate authorities t...
Article
Full-text available
Smart contracts are a key component of today’s blockchains. They are critical in controlling decentralized autonomous organizations (DAO). However, smart contracts are not yet legally binding nor enforceable; this makes it difficult for businesses to adopt the DAO paradigm. Therefore, this study reviews existing Smart Contract Languages (SCL) and i...
Preprint
Full-text available
The "digital transformation" is perceived as the key enabler for increasing wealth and well-being by politics, media and the citizens alike. In the same vein, digital government steadily receives more and more attention. Digital government gives rise to complex, large-scale state-level system landscapes consisting of many players and technological...
Article
Purpose E-court systems automate court processes and provide better case administration with more effective and efficient justice delivery. This paper aims to present the e-court system in the Sulaimaniyah Appellate Court in the Kurdistan Region of Iraq as a case study. It identifies significant improvements after adopting the system. Design/metho...
Preprint
Full-text available
Every year, healthcare specialists collect more and more data about patients but struggle to use it to optimize disease prevention, diagnosis, or treatment processes. While a manual use of this medical data is virtually impossible considering the vast growth rate, automation with artificial intelligence (AI) and digital decision support systems (DD...
Article
Full-text available
In the European Union, the silver economy is focused on developing strategies to facilitate the elderly population, mainly in terms of creating services based on innovations and technology. The paper encompasses a detailed overview of the silver economy in Estonia and the introduction of ICT solutions for the elderly population through knowledge ma...
Conference Paper
Full-text available
Building on the rising interest in online crowdsourcing platforms, and the ever-rising concerns over mental health issues worldwide; in this paper, we propose a novel citizen-oriented web-based Collective Intelligence (CI) platform called 'CommunityCare'. The platform is meant to be focused on end-users' communities and aims to empower its users by...
Conference Paper
Full-text available
In association rule mining, both the classical algorithms and today's available tools either use binary data items or discretized data. However, in real-world scenarios, data are available in many different forms (numerical, text) and these types of data items are not supported in the classical association rule mining algorithms. There are some ass...
Chapter
Since the introduction of Bitcoin in 2009 and its immense resonance in media, we have seen a plethora of envisioned blockchain solutions. Usually, such blockchain solutions claim to be disruptive. Often, such disruptiveness takes the form of a proclaimed blockchain revolution. In this paper, we want to look at blockchain technology from a neutral,...
Chapter
Full-text available
In association rule mining, both the classical algorithms and today’s available tools either use binary data items or discretized data. However, in real-world scenarios, data are available in many different forms (numerical, text) and these types of data items are not supported in the classical association rule mining algorithms. There are some ass...
Article
While the world has experience with many different types of infectious diseases, the current crisis related to the spread of COVID-19 has challenged epidemiologists and public health experts alike, leading to a rapid search for, and development of, new and innovative solutions to combat its spread. The transmission of this virus has infected more t...